Divya Bhardwaj
870******* # ***************@*****.*** ï LinkedIn Portfolio
Summary
Data Analyst Intern with a strong foundation in statistics, machine learning, and data analytics. Proficient in SQL, Python, Excel, Tableau, and Power BI, with hands-on experience in data cleaning, analysis, and visualization. Skilled at deriving actionable insights to support data-driven decision-making and business strategies and eager to collaborate on impactful analytical projects in dynamic, fast-paced environments. Skills
Programming & Querying: Python, SQL
Data Visualization Tools: MS Excel, Tableau, Power BI Analytics: Data Analytics, Statistics, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP)
Experience
Data Analyst Intern April 2025 – July 2025
Internshala, Gurugram Tools Used: SQL, Excel, Metabase
– Utilized SQL to query and manipulate structured data for performance monitoring and operational reporting across departments.
– Built a daily tracker dashboard in Metabase to monitor team activity and key metrics adopted across business teams for daily stand-ups.
– Collaborated with cross-functional teams to deliver insights that enhanced workflow efficiency and metric visibility. Data Analyst Intern January 2025 – April 2025
Eazy ERP Technologies Pvt Ltd, Gurugram Tools Used: Python, SQL, Excel, Bold BI
– Cleaned, transformed, and analyzed large datasets using Python and SQL to support internal and client-facing analytics.
– Developed interactive dashboards in Bold BI for external clients, visualizing key business trends and performance metrics.
– Organized data cleaning workshops for General Mills’ 30 sales officers, standardizing practices and improving data reliability.
Projects
H&M Outfit Recommendation System Python, FP-Growth
– Developed a recommendation engine using the FP-Growth algorithm on transactional data to provide personalized outfit suggestions based on frequent purchase patterns.
Food Forecasting Analysis Tableau, Data Visualization
– Forecasted demand for a meal delivery company and created dashboards to optimize stock planning across fulfillment centers by highlighting trends, peak periods, and city-wise order patterns.
Twitter Sentiment Analysis Python, Logistic Regression
– Built a sentiment analysis model on tweet data and identified Logistic Regression as the best-performing algorithm with 80% accuracy.
Certifications
Accenture North America Data Analytics & Visualization – Forage Jan 2025
– Advised a mock social media client by analyzing content trends to support strategic decisions.
Data Science Specialization – Internshala Apr 2023
– Completed a 4-month Data Science program covering Python, data analysis, SQL, Tableau and machine learning. Education
Vellore Institute of Technology – AP 2023 – 2025
M.Sc. Data Science CGPA: 8.8 / 10
Dyal Singh College, University of Delhi 2019 – 2022 B.Sc. (Hons) Mathematics CGPA: 8.9 / 10