Data Analyst with less than a year in SQL, Python, Power BI, Excel, and Tableau with hands-on experi
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Detail-oriented Data Analyst Fresher skilled in SQL, Python, Power BI, Excel, and Tableau with hands-on experience in data cleaning, KPI reporting, dashboard development, and exploratory data analysis. Capable of transforming raw data into actionable business insights to support strategic decision-making through real-world analytics projects.
M.E.S. Nowrosjee Wadia College
M.Sc Industrial Mathematics with Computer Applications · Industrial Mathematics with Computer Applications
August 1, 2023 – June 30, 2025
P.E.S.Modern College of Arts, Science & Commerce
B.Sc Mathematics · Mathematics
August 1, 2020 – June 30, 2023
Behavioral Analytics on Fitbit User Data
June 1, 2026 – June 1, 2026
Analyzed fitness activity records using Python, Pandas, and NumPy to identify behavioral and mood patterns. Performed data cleaning, segmentation, and KPI analysis on steps, sleep, and calorie metrics. Identified correlation between higher activity levels and positive mood trends to support engagement strategies.
Cars24 Price Analysis (ML)
June 1, 2026 – June 1, 2026
Analyzed 13,000+ used car records using Python, Pandas, Seaborn. Performed data cleaning, EDA, and feature scaling using Min-Max Scaler. Built a Linear Regression model using Gradient Descent for car price prediction. Analyzed pricing trends, brand performance, and market demand.
Pizza Sales Analysis Using SQL
June 1, 2026 – June 1, 2026
Analyzed 48,000+ pizza sales transactions using SQL to derive business insights and monitor sales performance. Developed advanced SQL queries using JOINS, CTEs, Window Functions, and Aggregate Functions to calculate revenue, AOV, top-selling products, and sales trends. Identified peak sales periods, best-performing pizza categories, and revenue-driving products through exploratory data analysis. Created KPI-based reports and dashboards supporting business decisions related to inventory management, marketing, and menu optimization.
IT Support Ticket Analysis
January 1, 2022 – December 31, 2025
Analyzed 500,000+ IT support tickets (2022-2025) from a SaaS organization to identify operational inefficiencies, SLA compliance issues, and customer support trends. Consolidated and transformed multi-source datasets using Power Query, including tickets, customers, agents, products, SLA rules, and support teams. Built a star schema data model in Power Pivot by establishing relationships between fact and dimension tables for scalable reporting. Developed interactive dashboards using Pivot Tables, Pivot Charts, Slicers, and KPIs to monitor ticket volume, resolution time, CSAT, SLA adherence, agent performance, and support channel effectiveness.
Deloitte Job Simulation
Deloitte
June 1, 2026 – Present
I_Studio Data Analytics internship
I_Studio
June 1, 2026 – Present
3rd Prize in Seminar Competition
Savitribai Phule Pune University
January 1, 2025 – Present
Akolkar Sidenure Prize and Late Mr. Abhra Bhattacharya Memorial Award
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data analysis techniques across different domains (fitness, automotive, IT support, retail). This indicates adaptability and a willingness to tackle varied challenges. The participation in a Deloitte Job Simulation and an internship, along with academic awards, suggests a driven individual. The breadth of tools and concepts covered in projects aligns with a growth-oriented mindset, which is a positive indicator for cultural fit in a dynamic analytical environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a detail-oriented approach and a focus on transforming raw data into actionable insights, which aligns well with the analytical demands of a Data Analyst role. The academic background in Mathematics further supports strong problem-solving and logical reasoning abilities. However, without psychometric or English test scores, a comprehensive assessment of work attitude, stress handling, team collaboration, and communication clarity is not possible.