Data Analyst with less than a year in SQL, Power BI, and Python for business intelligence and predic
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Highly motivated entry-level Data Analyst pursuing a Bachelor of Technology in Computer Science and Engineering. Proficient in SQL, Power BI, Python, and Excel with hands-on experience in data cleaning, analysis, and dashboard creation. Demonstrated ability to extract actionable insights from large datasets to drive business decisions, as seen in projects like AgriYield Intelligence and Business Sales Performance & KPI Analytics.
Mahakal Institute of Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
S.G.V.M. School
Senior Secondary Education
June 1, 2021 – May 31, 2022
Maa Umiya Girls School
Secondary Education
June 1, 2019 – May 31, 2020
Affimintus Technologies
DBMS & SQL Trainee
August 1, 2025 – August 31, 2025
India
Deloitte
Virtual Job Simulation - Data Analytics
July 1, 2025 – July 31, 2025
India
Tata Group
Virtual Job Simulation - Data Visualisation
July 1, 2025 – July 31, 2025
India
AgriYield Intelligence: Crop Performance & Risk Analytics System
February 1, 2026 – March 31, 2026
• Observed 20-30% yield variation across 10,000+ records due to environmental factors. • Analyzed 5+ variables (rainfall, soil, temperature) to identify key drivers. • Cleaned data using Python, ran 15+ SQL queries, built 4+ Power BI visuals. • Identified key factors causing 30% variation and top high-performing crops/regions.
Business Sales Performance & KPI Analytics Dashboard
January 1, 2026 – January 31, 2026
• Analyzed 50,000+ sales records from Microsoft Power BI business reporting data • Worked with 10+ business attributes including product, region, category, sales, and profit. • Cleaned and validated 100% of records to ensure accurate reporting • Used 15+ SQL queries to calculate total sales, profit, and profit margins • Built 4 interactive Power BI dashboards to track sales performance and profitability trends
Customer Retention & Churn Analysis System
January 1, 2026 – January 31, 2026
• Analyzed 7,043 customer records from the IBM Telco Customer Churn dataset. • Worked with 21 customer attributes including tenure, contract type, services, and billing. • Performed data cleaning and analysis using Python and 10+ SQL queries. • Created 3 Power BI dashboards to visualize churn rate and customer segments.
AI-Powered Resume Parsing
April 1, 2025 – April 30, 2025
• Developed an AI-powered resume parser that processes 100+ resumes with 92% accuracy using SpaCy and Gemini API. • Built a Flask-based backend and responsive frontend for real-time uploads and structured data output. • Automated resume screening, helping reduce recruiter review time by 40%.
Google Cloud Arcade Facilitator Program
June 1, 2026 – Present
Unlock PowerBI Secrets
Wayspire
June 1, 2026 – Present
TCSIONCareer Edge - Young Professional Certification
TCSION
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like agriculture, sales, and customer retention, indicating adaptability and a broad interest in applying data analysis to different business problems. Participation in virtual job simulations with Deloitte and Tata Group suggests an eagerness to understand corporate environments and workflows. The inclusion of an AI-powered project also highlights an interest in emerging technologies, which aligns with a culture of continuous learning and innovation. The candidate's current enrollment in a Bachelor of Technology program suggests a strong academic foundation and commitment to a technical career path.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application through various academic projects and virtual internships. The project descriptions indicate an ability to work with structured datasets, perform data cleaning, and present findings, which are crucial for operational fit in a data analyst role. The AI-Powered Resume Parsing project also shows an interest in automation and problem-solving, suggesting a good fit for roles requiring innovative approaches.