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Data Analyst with 1+ years in SQL, Python & Power BI
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 hands-on experience in SQL, Python, Power BI, and Advanced Excel, specializing in data cleaning, exploratory data analysis (EDA), KPI tracking, and dashboard development. Proven ability to analyze large datasets, identify trends, and deliver data-driven business insights. Skilled in statistical analysis, data visualization, and reporting, with a strong focus on improving business performance and decision-making.
Sinhgad Institute of Technology & Science
B.E. · Electronics & Telecommunication Engineering
August 1, 2021 – June 30, 2025
Science college, Nanded
12th
June 1, 2020 – May 31, 2021
Shri Shanti Vidya Mandir shala, Shirad Shahapur
10th
June 1, 2018 – May 31, 2019
Binecaps Pvt Ltd
Mobile Application Developer
December 1, 2023 – February 1, 2024
Pune, Maharashtra, India
Logistics Optimization – Flipkart
November 1, 2025 – June 1, 2026
Processed and analyzed 100K+ delivery records using advanced SQL (CTEs, window functions). Identified delayed routes, warehouse bottlenecks, and low performing agents, improving operational efficiency by 18%. Developed KPI based reports for delivery performance and route optimization.
View ProjectRetail Customer Retention Analytics – Adidas
October 1, 2025 – June 1, 2026
Built an interactive Power BI dashboard to track churn rate, CLV, and key retention KPIs. Performed data cleaning and modeling using Power Query and DAX to ensure data quality. Conducted customer segmentation to identify high-value and at-risk customers and improve engagement.
View ProjectPredictive Modeling on Web Scraped Dataset
January 1, 2025 – June 1, 2026
Scraped and processed 1,000+ records, performing data cleaning and feature engineering. Built and evaluated machine learning models using regression and classification algorithms. Developed interactive Power BI dashboards to visualize predictions and business insights
View ProjectData Science Course
Internshala
June 1, 2026 – Present
Python Programming
Core2Web
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with a Data Analyst role, covering various aspects like predictive modeling, customer retention, and logistics optimization. The use of diverse tools (Python, SQL, Power BI, Excel) and exposure to different business domains (e-commerce, retail) suggest adaptability and a broad interest in data-driven problem-solving. The internship in mobile development, while a deviation, indicates a willingness to explore different technical areas. However, the overall experience level is entry-level, which might require more mentorship in a senior team environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end data analysis tasks, from data processing to visualization and insight generation. The internship as a Mobile Application Developer, while not directly related to data analysis, shows exposure to software development lifecycle, collaboration, code reviews, and documentation, which are valuable operational skills. However, without specific psychometric or English test scores, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration beyond what's implied by project completion.