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Data Analyst with less than a year in Data Analytics and Machine Learning.
Motivated and detail-oriented B.Tech student in Electronics & Telecommunications Engineering with a strong foundation in Data Analytics, Data Science, and Machine Learning. Proficient in Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, Tableau, and Excel for data analysis, visualization, and business intelligence. Skilled in Exploratory Data Analysis (EDA), data cleaning, feature engineering, predictive modeling, dashboard development, and recommendation systems through academic and personal projects. Certified in Data Science by ExcelR (with Distinction) and IIT Bombay. Eager to apply analytical and problem-solving skills to real-world business challenges through Data Analyst, Business Analyst, or Data Science opportunities.
Bharati Vidyapeeth College of Engineering Pune
Bachelor of Engineering · Electronics & Telecommunication
August 1, 2023 – June 30, 2027
Janata Jr College
Higher Secondary
June 1, 2023 – May 31, 2023
AiVariant
Data Analyst Intern
June 1, 2025 – December 1, 2025
Pune, Maharashtra, India
Ezpedal Rideshare
Market Research & Power BI Intern
March 1, 2025 – May 1, 2025
Pune, Maharashtra, India
Ola Ride Prediction & Insights Dashboard
June 1, 2026 – June 1, 2026
Analyzed 30K+ ride-hailing records to identify demand patterns, peak booking hours, cancellation trends, and revenue performance. Utilized SQL aggregations and time-series analysis techniques to extract actionable operational insights from large datasets. Designed an interactive Tableau dashboard visualizing ride volume, customer segments, cancellation rates, and time-based demand trends. Applied forecasting techniques to predict ride demand fluctuations, supporting resource allocation and pricing strategy decisions.
Tata Motors Customer Analytics Dashboard
June 1, 2026 – June 1, 2026
Developed an interactive Power BI dashboard analyzing 20K+ customer records across 28 states, covering demographics, vehicle preferences, and sales distribution. Performed customer segmentation and behavioral analysis to identify high-performing regions, popular vehicle models, and purchasing trends. Created data-driven visualizations and KPI reports to support sales, marketing, and business decision-making. Published the project on GitHub and LinkedIn, demonstrating end-to-end data analytics and dashboard development skills.
Movie Recommendation System
June 1, 2026 – June 1, 2026
Built a content-based movie recommendation system using machine learning techniques to suggest similar movies based on user preferences. Performed data preprocessing, feature extraction, and similarity analysis on movie metadata to improve recommendation accuracy. Implemented recommendation logic using cosine similarity and vectorization techniques to generate personalized movie suggestions. Developed and deployed an interactive web application enabling users to search movies and receive real-time recommendations.
View ProjectData Science & Data Analyst Certification (Distinction)
ExcelR
June 1, 2026 – Present
Data Science & Machine Learning (80%)
IIT Bombay Certification
June 1, 2026 – Present
SQL for Data Analysis
LinkedIn Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships cover diverse domains like automotive customer analytics, movie recommendations, ride-hailing insights, banking, and FMCG, indicating adaptability and a broad interest in applying data analysis across various industries. This diversity aligns well with roles requiring a versatile data analyst. The certifications further demonstrate a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through project work. Their experience in collaborating with business stakeholders to translate findings into strategic recommendations indicates good communication and teamwork potential. The psychometric test score is 0, which means there is no data to assess logical reasoning, work attitude, stress handling, or team collaboration.