Associate Professor with 1+ years in Data Analytics with 1.0 Year of experience in Python & SQL
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Assessing your cultural and operational fit
Data Analytics Associate Professor at Physics Wallah (PW Skills vertical), mentoring 200+ students simultaneously in Python, SQL, Excel, BI Tools. Skilled in data cleaning, exploratory data analysis (EDA), dashboard creation, and business reporting. Proven ability to convert raw data into actionable insights through real-world projects in sales, HR, and operational analytics. Also experienced in student counseling, SST (Student Success Tracking), and driving offline business development initiatives.
Dr. APJ Abdul Kalam Technical University
B.Tech – Computer Science Engineering · Computer Science Engineering
August 1, 2021 – June 30, 2024
Board of Technical Education Uttar Pradesh
Diploma in Engineering (Electronics Engineering) · Electronics Engineering
August 1, 2018 – June 30, 2021
Physics Wallah (PW Skills)
Associate Professor – Data Analytics with GenAI
June 1, 2025 – June 1, 2026
India
Zomato Dataset Analysis
June 18, 2026 – Present
Cleaned and analyzed Zomato restaurant data using Pandas and NumPy; identified that online orders consistently received higher ratings than offline across all restaurant types. Built 5+ visualizations including histograms, box plots, and heatmaps to segment ordering patterns across dining and cafe categories, enabling data-driven business recommendations. Performed correlation analysis between restaurant features (location, cuisine type, cost) and customer ratings to uncover key drivers of customer satisfaction.
Flipkart Electronics Sales Analysis
June 18, 2026 – Present
Scraped 1,200+ products and 10M+ reviews using BeautifulSoup; built an interactive Power BI dashboard visualizing pricing trends, category performance, and review sentiment. Performed EDA to identify discount and engagement patterns across smartphones, laptops, and accessories, revealing actionable pricing optimization opportunities. Developed a dynamic reporting model to track month-over-month sales velocity and product ranking changes, supporting inventory and marketing decisions.
Madhav General Store Analysis
June 18, 2026 – Present
Designed a Power BI dashboard analyzing Rs. 438K revenue, Rs. 37K profit, and 5,600+ orders to track and monitor overall business performance. Uncovered top-performing states, customer segments, and product sub-categories driving sales; visualized profit trends and payment mode distributions for strategic planning. Built automated data refresh pipelines in Power BI to deliver real-time business insights, reducing manual reporting effort by approximately 40%.
Data Analyst 101
Simplilearn
June 1, 2026 – Present
Data Science
Masai School
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity (Zomato, Flipkart, Madhav General Store) shows a breadth of application for data analysis skills across different domains. Their role as an Associate Professor indicates a collaborative and supportive work style. However, the target role of 'SALES ASSOCIATE' is a poor cultural fit given their strong technical and educational background in data analytics. Their skills and experience are geared towards data-driven roles, not direct sales, which suggests a misalignment with the typical demands and culture of a sales associate position.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills through their Associate Professor role, including mentoring, student counseling, and collaboration with academic teams. These indicate good communication, problem-solving, and teamwork abilities. Their experience in business development also suggests initiative and stakeholder engagement. However, the target role is 'SALES ASSOCIATE', which is a significant mismatch with their technical and teaching background. While their analytical skills could indirectly support sales, their direct operational fit for a sales associate role is low.