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Data Science with 1+ years in Data Analysis, Statistical Modeling & Machine Learning.
Statistically driven and detail-oriented analyst with 1 year of experience in data analysis, statistical modeling, and research. Skilled in deriving actionable insights through advanced data visualization and predictive analytics. Proficient in Python, R, SQL, Power BI, and AI/ML techniques for data-driven decision-making. Strong analytical and problem-solving abilities with a focus on improving business performance and forecasting trends.
Modern College Pune
M.Sc. Statistics · Statistics
August 1, 2021 – June 30, 2023
Sir Parshurambhau College, Pune
B.Sc. Statistics · Statistics
August 1, 2018 – June 30, 2021
Maharashtra state Board
HSC
June 1, 2016 – May 31, 2018
Maharashtra state Board
SSC
June 1, 2014 – May 31, 2016
COEP Technological University Pune
Visiting Faculty Professor
June 1, 2023 – June 1, 2024
Pune, Maharashtra, India
Shikshanganga Foundation Pune
Teaching Assistant
May 1, 2022 – June 1, 2023
Pune, Maharashtra, India
A Time-Series Analysis of student visiting College library -R-software
June 1, 2026 – Present
Conducted time-series analysis to identify seasonal patterns and peak visitation trends of students in the college library. Applied statistical models (ARIMA, Exponential Smoothing) to forecast future library usage. Supplied data-driven insights to optimize library staffing and resource allocation
Retail Store Diwali Sales Analysis Using Python
June 1, 2026 – Present
Exploratory data analysis (EDA) done to uncover sales trends and customer purchasing behavior during the Diwali season. Cleaned and transformed raw datasets using Python (Pandas, NumPy) for accurate and consistent analysis. Identified key factors driving higher sales, helping optimize marketing and product targeting strategies.
Sales Forecasting of Madhav-Ecommerce using Power BI
June 1, 2026 – Present
Developed an interactive Power BI dashboard to track and analyze online sales, customer behavior, and product performance. Implemented filters, slicers, and dynamic parameters to enable drill-down and user-driven data exploration. Delivered insights on sales trends, top-performing products, and regional performance, demonstrating the power of data visualization.
Banking Transaction Fraud Detection
June 1, 2026 – Present
Created a SQL-based fraud detection system to identify suspicious banking transactions by analyzing amount anomalies, transaction frequency, and location patterns. Utilized analytical queries, joins, and window functions to compare real-time transactions with historical customer behavior and detect deviations from typical spending trends. Implemented outlier detection logic to flag high-risk transactions, enabling proactive fraud monitoring and risk assessment for financial data analysis.
Machine Learning course
Symbiosis Skills and Professional University
June 1, 2026 – Present
Data Science with Python
Gamaka Artificial Intelligence Solutions
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Statistics and experience as a Visiting Faculty Professor at a technological university suggest a strong inclination towards analytical rigor and continuous learning. The diverse personal projects demonstrate initiative and a proactive approach to applying learned skills. The teaching assistant role also indicates a collaborative spirit and a willingness to contribute to community development, which can be a positive cultural fit for organizations valuing social responsibility and teamwork.
Soft Skills & Operational Fit
The candidate highlights critical thinking, analytical reasoning, strong communication, teamwork, problem-solving, and ethical data handling. These soft skills are crucial for a Data Scientist who needs to interpret complex data, communicate findings, and collaborate with cross-functional teams. The teaching experience further supports strong communication and mentoring potential.