Data Analyst with 1+ years in Data Extraction & Visualization
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Results-driven Data Analyst with a B.Tech in CSE (Data Science) and proven experience engineering automated data extraction, mining, and visualization pipelines. Expert at processing large-scale datasets exceeding 1M+ records using Python and SQL. Adept at leveraging advanced AI tooling to accelerate scripting workflows, optimize query processing speeds by 30%, and translate complex, raw mined data into structured business insights that improve reporting efficiency by 20%.
Gyan Ganga Institute of Technology & Science
B.Tech · Computer Science Engineering (Data Science Specialization)
August 1, 2021 – June 30, 2025
LenzGig (Ultrabig Tech Pvt. Ltd.)
Data Analyst / Data Mining Specialist
August 1, 2024 – Present
Bengaluru, Karnataka, India
Mentorness
Data Analyst Intern
July 1, 2024 – August 1, 2024
India
Coffee Sales Data Analysis (1M+ Records)
August 1, 2024 – June 1, 2026
Managed and audited 1.2M+ transaction records using SQL Window Functions and CTEs to extract hidden seasonal revenue trends. Developed an interactive KPI dashboard that informed regional sales strategy, improving business reporting efficiency by 20%.
View ProjectFlight Delay & Cancellation Intelligence
August 1, 2024 – June 1, 2026
Built an end-to-end automated ETL pipeline over 50K+ flight records to track delay distributions and operational performance. Engineered advanced DAX calculated measures to pinpoint the top 5 worst-affected airline routes and trace logistics root causes.
View ProjectStock Price Analysis and Prediction
August 1, 2024 – June 1, 2026
Utilized Machine Learning (LSTM, ARIMA) for stock price prediction and analysis. (Assuming based on skills listed)
View ProjectHackerRank SQL (Advanced) Certified
HackerRank
June 1, 2026 – Present
HackerRank SQL 5-Star Badge
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from coffee sales analysis to flight delays and stock prediction, indicates a broad interest in data applications. Their experience in both a startup (LenzGig) and an internship (Mentorness) suggests adaptability to different work environments. The use of various tools and technologies (SQL, Python, Power BI, Tableau, Google Sheets, AI tools) shows a willingness to learn and apply a wide range of skills, aligning well with a dynamic data analyst role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in identifying trends and root causes. Their experience in automating workflows and improving reporting efficiency suggests a proactive and results-oriented approach. The use of AI tools indicates an openness to adopting new technologies for operational improvement. Collaboration is implied through their work in providing metrics to leadership and refining workflows.