Data Analytics’ Post

I am pleased to announce the successful completion of my data analyst internship, where I engaged in comprehensive data analysis using a diverse toolkit of industry-standard technologies. Throughout this internship, I meticulously refined my proficiency in the following areas: 🔍 SQL Mastery: Demonstrated adeptness in constructing intricate SQL queries to extract, transform, and analyze data with precision and efficiency. 📊 Advanced Excel Proficiency: Exhibited advanced skills in data manipulation, complex formula utilization, and the creation of sophisticated visualizations to distill insights effectively. 📈 Power BI Expertise: Orchestrated the development of dynamic dashboards and reports in Power BI, facilitating the seamless communication of data-driven insights to stakeholders. 🐍 Python Application: Applied Python programming to automate analytical processes, conduct in-depth data analysis, and develop bespoke solutions tailored to specific project requirements. Moreover, I actively engaged in stakeholder management, ensuring effective communication and collaboration throughout project lifecycles. By adeptly navigating stakeholder expectations and requirements, I fostered productive relationships, facilitating the alignment of analytical insights with organizational objectives. Throughout the duration of this internship, I contributed significantly to few projects, notably [cite key projects or achievements]. These experiences have fortified my analytical prowess, refined my problem-solving acumen, and bolstered my capacity for effective communication and stakeholder engagement within professional contexts. I'm excited to apply the knowledge and skills gained from this internship to future endeavors in the field of data analysis.

I was reflecting on my data analysis journey today and I couldn’t help but feel gratitude for how far I have come. It’s not been a long time but as someone who is big on celebrating the littlest things, I feel gratitude. I remember I experienced a lot of fear and challenges starting but looking back in time, I have grown, I have learnt a lot, and I truly enjoy what I am doing. There have been days full of setbacks and challenges but even with them, I believe I have found a true passion for working on projects, gaining insights and providing recommendations that drive valuable change for businesses and these keep me going. Today, I spent time strengthening my knowledge and skills in advanced SQL using Alex Freberg MySQL series, I’ve constantly tried and even when I’m able to do it when working on my personal projects, I’m not the most confident working with advanced SQL but it is very interesting to always push myself further because I believe I only get better at each learning and trial. I'm also happy to have worked on my second task as a Data Analyst Intern at Analytics Career Connect today! I can’t wait to share this with you guys! Each step I take there shapes me further, and I’m very excited by how much I’ve learned through this internship experience. Here's to continuing to develop, learn, and contribute as much value as I can! 🤭🥂 #DataAnalysis #SQL #DataAnalyticsJourney #Internship #TechGirl #CareerGirl #Grateful #ContinuousLearning #GrowthMindset #AnalyticsCareerConnect #InternshipExperience #DataDrivenInsights

The most recent data analytics project I undertook at Texas A&M University-Commerce centered on analyzing student internship data within the College of Business. The project started with understanding the data, asking relevant questions, cleaning, and preprocessing the data using appropriate data tools to finally build an interactive dashboard. The goal was to comprehend the volume of students involved in internships at specific companies across different seasons from Spring 2021 to Winter 2022. Initially, my manager Shernay Wormley, M.S. sought basic information, but the project evolved into a comprehensive analysis. This involved categorizing students' employment sectors, pinpointing locations via a dashboard map, and identifying unique employers. The interactive nature of the dashboard was particularly exciting. For instance, it allows filtering by academic major, displaying sectors, employers, locations, and segregating data between Graduate and Undergraduate students. This project significantly enhanced my proficiency in Power BI. I owe gratitude to Professor Vinayaka Gude for his guidance and diverse perspectives. Additionally, I'm thankful for Shernay Wormley, M.S. 's curiosity, which added depth and interest to the project. Her reaction upon seeing the initial draft was gratifying as she remarked on how the complex data transformed into a visually appealing dashboard. My passion lies in simplifying intricate data for businesses. A pivotal accomplishment of this project was establishing a model for future Data Analyst Graduate Assistants within TAMUC's Career Services Department to utilize. #DataAnalytics #BusinessIntelligence #DataDrivenDecisions #AnalyticsStrategy #BigDataAnalytics #DataScience #DataVisualization #AIinBusiness #PredictiveAnalytics #DataInsights #AnalyticsInnovation #BusinessAnalytics #MachineLearning #DataStrategy #AdvancedAnalytics #DigitalTransformation #DecisionAnalytics #BIReporting #DataMining #AnalyticsSolution

Over the past 60 days, I worked on a public domain project aimed at understanding the career aspirations of Gen Z. The project addressed key challenges, including : - Gen Z struggling to pursue desired roles, with their aspirations often overlooked by employers - Employers facing difficulties in attracting, retaining, and managing Gen Z talent Here is a summary of my contributions and learning : - Data Cleaning & Standardization : Processed survey data to ensure accuracy - Descriptive and Prescriptive Analytics : Analyzed survey responses to derive insights - Excel Mastery : Completed Excel and Pivot Table courses, followed by building dashboards to track aspirations across career, learning, managers and mission - MySQL & EDA : Performed SQL queries, exploratory data analysis, and hypothesis testing to uncover high level insights - Survey Analysis : Participated in a structured survey course to understand data collection techniques I would like to express my sincere gratitude to Kadhiravan Jayachandiran for his invaluable support and guidance throughout this journey. This internship has provided a great opportunity to enhance my skills in data analysis, business insights, and dashboard creation. I look forward to applying these skills in future projects #internship #dataanalytics #GenZ #SQL #Excel #KultureHire #businessinsights

🔐The key to starting your data analysis career: ❌It's not your education ❌It's not your experience ✅️It's how you apply these principles: 1. Learn the job through "doing" 2. Build a portfolio 3. Make yourself known No one starts an expert, but everyone can become one✨️✅️ If you're looking for a career in data analysis, start by:👇 ⟶ Watching videos ⟶ Reading experts advice ⟶ Doing internships ⟶ Building a portfolio ⟶ Learning from seniors You'll be amazed at how fast you'll learn and how quickly you'll become an expert💯 So, start today and let the data analysis career begin🫶 Like this post if you're interested in more♥️👍 Enjoy Learning ✅️ #dataanayst #bussinessanalyst #datascientist

WHAT WOULD I TELL SOMEONE JUST STARTING OUT IN DATA ANALYTICS? As a baby data analyst, I only have a little to say.🙈 My data analytics journey has been a rough one, I had always thought I had to learn everything before I could apply to internships or jobs, but it didn't take too long for me to painstakingly realize that I cannot learn "everything" just yet. In fact, it is better to apply and learn on the job. Since my first data analytics bootcamp in 2023 (about a year ago), I have continued to take different courses and watch YouTube videos just to ensure that I would be ready when I finally decide to apply to opportunities. LOL. Well, that definitely didn't work because there are too many things to learn. Hence, I would say that if you are an intending or beginner data analyst, you should learn the basics and start applying to internships to gain real life experience, while still doing some self-learning. That would save so much time and stress and help to become better in no time. I finally took the bold step to start applying to internships and jobs about a month ago and by God's grace, I was able to land 2 different internships. Sending you my warm wishes. What do you think about this? I would love to hear your thoughts in the comment section 👏☺️ #JCINIGERIA #JCINCOLLEGIATE #LINKEDINGROWTHCHALLENGE #BRANDDEVELOPMENT #SEE #PARADIGMSHIFT

Hi friends, my April started with this great offer. so here is how this offer will help my career. 1. Hands-on Experience: I'll gain practical, real-world experience working with data sets, tools, and software commonly used in the company. This hands-on experience is invaluable and will strengthen my skills in data manipulation, analysis, and visualization. 2. Skill Development: Throughout the internship, I'll have the chance to enhance my technical skills, such as proficiency in programming languages like Python or R, data querying languages like SQL, and data visualization tools like Tableau or Power BI. These skills are highly sought after in the data analysis field. 3. Problem-Solving Abilities: Data analysis often involves solving complex problems and making data-driven decisions. This internship will provide me with opportunities to tackle various challenges, which will sharpen my problem-solving abilities and critical thinking skills. 4. Networking Opportunities: Internships are excellent opportunities to expand professional network. I'll have the chance to connect with professionals in the field, including mentors, colleagues, and industry experts. Building these relationships can open doors to future job opportunities and collaborations. 5. Resume Enhancement: Having an internship in data analysis in my resume demonstrates to future employers that I have practical experience in the field. It will make me stand out among other candidates when applying for full-time positions or further educational opportunities. 6. Career Direction: This internship experience will help me clarify my career goals within the data analysis field. Overall, this internship will provide me with valuable skills, knowledge, and experiences that will undoubtedly contribute to my future success in the field of data analysis. Congratulations 🎉🎉🎉🎉🎉 to me. Mentorness #mentornessInternship

Over the past 60 days, I worked on a public domain project aimed at understanding the career aspirations of Gen Z. The project addressed key challenges, including : - Gen Z struggling to pursue desired roles, with their aspirations often overlooked by employers - Employers facing difficulties in attracting, retaining, and managing Gen Z talent Here is a summary of my contributions and learning : - Data Cleaning & Standardization : Processed survey data to ensure accuracy - Descriptive and Prescriptive Analytics : Analyzed survey responses to derive insights - Excel Mastery : Completed Excel and Pivot Table courses, followed by building dashboards to track aspirations across career, learning, managers and mission - MySQL & EDA : Performed SQL queries, exploratory data analysis, and hypothesis testing to uncover high level insights - Survey Analysis : Participated in a structured survey course to understand data collection techniques I would like to express my sincere gratitude to Kadhiravan Jayachandiran for his invaluable support and guidance throughout this journey. This internship has provided a great opportunity to enhance my skills in data analysis, business insights, and dashboard creation. I look forward to applying these skills in future projects #internship #dataanalytics #GenZ #SQL #Excel #KultureHire #businessinsights #Businessanalytics

How to land a job in Data Analytics? 1. Learn not just the basics but advanced ⟶ Statistics ⟶ SQL ⟶ Excel ⟶ Python 2. Pick an industry ⟶ IT ⟶ E-commerce ⟶ Healthcare ⟶ Finance ⟶ etc. 3. Create a portfolio ⟶ Kaggle ⟶ GitHub ⟶ Personal projects 4. Reach out to people in the industry ⟶ LinkedIn ⟶ Meetups ⟶ Conferences 5. Tailor your resume ⟶ Highlight your skills ⟶ Showcase your portfolio 6. Apply for internships ⟶ Internships are a great way to get your foot in the door 7. Nail the interview ⟶ Practice behavioral questions ⟶ Communicate your thought process ⟶ Show your passion for data Remember, landing a job in Data Analytics takes time and effort, but the payoff is worth it. Keep learning, networking, and practicing, and you'll land your dream job in no time.

Hello Connections 🌟 !!! Data Science is a popular and an emerging field today which has facinated my interest and quest in technology. According to my research and belief, Data Science and Data Analytics are two different fields.  But despite their differences, both fields strive to achieve the same core objective: To extract valuable insights from data. These insights are then used to make better decisions and solve problems (actionable outcomes)📊. With many softwares and tools like Power BI, Tableau, Excel, etc. along with programming languages Python(and its libraries), SQL, R being highly used and recommended in this field, I started my research and began my practice on few languages and tools specific to data. I needed to get good amount of practice and various problem statements to actually get into the depth of complex problems. That's when I got an opportunity from LinkedIn and applied at The Sparks Foundation for an internship under Data Science and Bussiness Analytics domain. The internship consisted of a total of 8 tasks starting from Beginner's level to Advanced Level. I realised one conclusion, the more complex the problem statement is, the more curious your mind gets to solve problem in the most efficient way. Applying for this internship helped me get a good practise and knowledge on how data can be used to find a solution to business problems for better outcome. I would like to thank The Sparks Foundation for providing me with a good internship which not only helped in enhancing my knowledge in this field related to data but also escalated my quest to keep growing... #GRIPMAY24 #Data #TheSparksFoundation #internship #learning