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Data Science with less than a year in Python, SQL, Power BI, and Tableau
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with strong experience in Python, SQL, Power BI, and Tableau. Skilled in data cleaning, data modelling, ETL, time-series forecasting, dashboard development, and predictive analytics. Hands-on experience in building machine learning models, statistical analysis, and deriving actionable insights from real-world datasets.
PES Modern College Of Engineering
B. Tech · Computer Engineering
N/A – June 30, 2026
Raje chatrapati Shivaji pratmik,madhyamik va uchhmadhyamik vidyalaya
Class 12th
N/A – May 31, 2022
Success Primary School
Class 10th
N/A – May 31, 2020
Prodigy Infotech
Data Science internship
January 1, 2026 – January 31, 2026
India
Stock Inventory Management & Business Insights (SQL)
June 19, 2026 – Present
Designed a centralized SQL-based inventory system to manage products, suppliers, customers, stock levels, and sales transactions efficiently. Generated operational and management reports using SQL joins and aggregations, including low-stock identification, top-selling products, and category-wise product distribution. Analyzed customer purchasing behavior to identify active customers, high-value orders, and customers with above-average purchase value, supporting sales and marketing strategy. Enabled data-driven procurement and inventory planning by evaluating supplier performance, stock movement trends, and revenue contribution at the product level.
View ProjectUber Rides Analysis & Performance Dashboard (Power BI)
June 19, 2026 – Present
Developed an interactive Power BI dashboard to analyze Uber ride data, providing insights into ride volume, revenue trends, trip duration, and customer demand patterns. Visualized key business KPIs such as total trips, peak demand hours, location-wise ride distribution, and payment method performance to support operational decision-making. Analyzed time-based trends (daily, weekly, monthly) to identify peak hours and high-demand periods, helping optimize driver allocation and service efficiency. Enabled data-driven insights for business planning by highlighting high-performing locations, ride categories, and usage patterns through dynamic filters and drill-downs.
View ProjectRetail Sales Analysis & Forecasting (Python)
June 19, 2026 – Present
Analyzed retail sales data to uncover revenue trends and customer purchasing patterns, supporting data-driven business decision-making. Generated forward-looking sales forecasts to aid demand planning and improve inventory and operational strategies.
View ProjectData Analysis and Data Science: Certification course
IT Vedant
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical applications of data analysis in various domains (transportation, retail, inventory), suggesting an interest in solving real-world problems. The academic background and pursuit of a certification indicate a proactive learning attitude. The internship, though short, shows an initiative to gain industry exposure. The breadth of tools and concepts covered (SQL, Python, Power BI, ML, Time Series Forecasting) suggests adaptability and a willingness to explore different areas within data science.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, research skills, and problem-solving as soft skills. The project descriptions indicate an ability to translate data into business insights, which aligns with problem-solving and communication. The academic nature of projects and limited professional experience mean operational fit cannot be fully assessed without further interaction.