Hi! I'm Anirudh Khandelwal👋
I am fascinated by the power of data, design, and technology because it can shape extraordinary customer experiences. 🔭 Currently, I'm immersed in honing my skills in Data Science, delving deep into data manipulation, analysis, and interpretation ⚡ Fun fact: I founded a successful $3M venture 💰 and am a skilled National Table Tennis Player 🏓
- Designed standardized automated data collection processes from multiple stakeholders using Python, SQL, and Power BI DAX for cleaning, wrangling, and transformations, improving analysis and ad hoc reporting efficiency by 40% - Leveraged exploratory data analysis and designed interactive dashboards to reveal key student engagement metrics, driving data-informed program enhancements and a 20% course completion rate surge
- Conducted comprehensive data exploration on agri-produce datasets using Python, applying data cleansing, feature engineering, and predictive modeling to forecast stock procurement, resulting in a 10% reduction in overstocking - Implemented multidimensional data models and built interactive Tableau dashboards for supply chain analytics, enhancing warehouse visibility, modifying storage utilization, and increasing revenue by 35% - Developed a centralized data warehouse ingesting 5 million rows of data from multiple sources through robust ETL processes, decreasing processing time by 25%, and improving data accuracy - Optimized SQL query efficiency by 15% through indexing strategies, while achieving a 20% reduction in financial reporting discrepancies through proficient use of Excel functions (XLOOKUP, Pivot Tables)
- Performed ad hoc analysis on datasets of 100K users, employing preprocessing techniques, visualization libraries for reporting, and statistical methods to devise a pricing strategy, boosting annual recurring revenue by $3M - Spearheaded a team of five interns to gather business requirements and execute a thorough A/B testing strategy for a customer referral program, leading to a 25% reduction in marketing budget and expanding user base by 45% - Accelerated operational efficiency by analyzing transactional data using SQL, and automating KPI dashboards to deliver real-time sales funnel insights, resulting in a 30% increase in sales performance - Coordinated cross-functional collaboration to perform in-depth trend analysis and build a robust user segmentation approach resulting in a 25% escalation in conversion rates and a 10% decrease in customer acquisition costs
This project develops a machine learning pipeline to classify petroleum facies accurately, leveraging diverse ML techniques and industry-standard practices for robustness and scalability
Engineered ETL pipeline to ingest 15K+ unstructured video data for analysis and leveraged S3 for storage, Glue for orchestration, Athena, and Lambda for automating data processing
Built high-performance database on AWS EC2, optimized data pipeline, processing 500k+ CSV rows, and enhanced query speeds by 30% via JSON conversion and migration to MongoDB NoSQL
Designed cricket analytics solution in Python leveraging web scraping, Pandas, and statistical modeling to deliver BI dashboard enabling national team selection with 90% win probability
Data Analytics Professional with a background in Computer Science and ongoing studies in Management Information Systems at Texas A&M University. Former Founder of Byko Journeys, specializing in customer-centric travel solutions. Proficient in Python, design thinking, UX research, Agile Methodology, and quantitative analysis. Passionate about merging data, design, and technology for outstanding customer experiences. I believe in the transformative power of data analysis in business and its impact on customer satisfaction. Looking to apply my analytical skills and entrepreneurial mindset to decode complex data, extract insights, and drive positive change. Seeking roles in Data Analysis, Business Analysis, or Business Intelligence. Let's connect and discuss data, travel, sports, and more!
