Data Science with less than a year in Data Analysis & Machine Learning
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Detail-oriented Data Analyst with a strong foundation in data cleaning, visualization, and statistical analysis. Proficient in Python with advance python, SQL, and Excel, with hands-on experience converting raw data into actionable business insights using Power BI and Tableau. Passionate about supporting data-driven decision making in collaborative team environments.
upGrad Learning Centre Indore
Advanced Certification · Data Science and Machine learning
August 1, 2025 – June 30, 2026
Sri Satya Sai University of Technology & Medical Sciences Sehore
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
Google Keyword Trend Analysis
March 1, 2026 – June 30, 2026
This project analyzes Google search trends to understand how interest in different keywords changes over time. It extracts insights such as top countries searching for a keyword, global search distribution, and time-wise trends, while also comparing multiple related keywords to identify their popularity and differences. By using charts and maps for visualization, the project converts raw data into clear and meaningful insights, supporting applications like market research, trend forecasting, and technology demand analysis.
View ProjectOLA Rides Analysis
January 1, 2026 – June 30, 2026
Analyze ride bookings, revenue trends, vehicle demand, cancellations, and ratings. Built an interactive Power BI dashboard with KPIs and visual insights. Identified a 28% cancellation rate, optimized high-demand vehicles, improved revenue strategy and customer satisfaction through data-driven decisions. Delivered actionable recommendations for operational efficiency and growth. Enhanced reporting accuracy and management visibility.
View ProjectTelecom Dataset analysis and ML model
January 1, 2026 – June 30, 2026
Analyze customer behavior and identify key factors influencing churn. Build predictive models to classify customers likely to leave and improve retention. Performed data cleaning, EDA, and feature engineering with encoding technique. Trained and evaluated ML models (X G Boost, Random Forest, Gradient Boosting) using key metrics. Achieved high prediction accuracy and identified major churn drivers. Delivered actionable insights and visualizations to support customer retention strategies.
View ProjectSales Superstore Analysis
December 1, 2025 – June 30, 2026
The store lacks clear sales and customer insights, causing lost revenue, unhappy customers, and poor decisions in products, profit, and operations. Focus on promoting high-demand products, fix poor items, optimizing peak times, rewarding loyal customers, investing in top categories, offering credit card, targeting ages 36-50 for higher sales. Analyzed customer behavior and spending patterns by age, gender, and payment mode to support targeted promotions, loyalty strategies, and business optimization.
View ProjectAdvanced Certification in Data Science and Machine Learning
upGrad
April 1, 2026 – Present
National data & AI Hackathon
upGrad
April 1, 2026 – Present
Data science & Analytics
HP Life
March 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
January 1, 2026 – Present
GenAI Powered Data Analytics Job Simulation
TATA
January 1, 2026 – Present
Python Course
CISCO
January 1, 2026 – Present
Internship Common Aptitude Test
iStudio
December 1, 2025 – Present
Workshop “LIFE WITH AI"
upGrad
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like e-commerce, telecom, and market research, indicating adaptability and a broad interest in applying data science. Participation in hackathons and advanced certifications shows a proactive learning attitude and a drive for continuous improvement, which aligns well with a growth-oriented culture. The focus on data-driven decisions and collaborative environments mentioned in the 'About Me' section suggests a good cultural alignment.
Soft Skills & Operational Fit
The candidate demonstrates a detail-oriented approach and a passion for supporting data-driven decision-making. Project descriptions highlight problem identification, solution development, and key achievements, indicating a results-oriented mindset. Participation in hackathons suggests teamwork and innovation capabilities. However, without direct work experience, the operational fit in a professional setting and stress handling are yet to be validated.