- Participated in case studies and projects relating to customer segmentation, cross-sell analysis, market basket analysis and strategic recommendations utilizing methods such as hypothesis testing using T test and Chi-square and subject to rigorous statistical analysis.- Deployed SQL and ETL processes, pivot tables and V-Lookup in Excel to analyze sales data, utilized IBM SPSS and python for statistical analysis and Tableau for data visualization and dashboard preparation.

Worked with team of 5 data scientists, focusing on optimizing class scheduling strategies and attendance prediction using regression and time series analysis combined with Lean Six Sigma methodologies.Leveraged DMAIC, FMEA and machine learning algorithms like Linear Regression and Random Forest to create advanced statistical models to predict attendance rate and course work demand. Improved scheduling allocation and operational efficiency by 21%. Conducted A/B testing on 3 scheduling methodologies tailored to 2 unique courses to identify efficacy of each method to understand student behaviors.Developed project charter and collaborated closely with departmental leaders to pinpoint key performance indicators (KPIs) and success metrics.Developed and automated a schedule management dashboard using dynamic tableau visualization dashboard. Reducing manual work by 95%, leading to weekly time savings of over 46 hours.

Leveraged data cleaning and feature engineering techniques using Python to design high-performance datasets.Deployed and implemented real-time YOLOv5 architecture to achieve high accuracy and real time performance for face detection with occlusions, orientation detection and landmark detection.The model was integrated into online proctoring services, enabling automation monitoring of test-takers during online examinations. l Successfully piloted and demonstrated a reduction in online proctoring costs by over 45% compared to conventional human-intensiveproctoring methods, through the implementation of automated cloud-based monitoring solution.Participated in studies involving test groups to analyze behavioral patterns and improve efficiency of the model, focusing on reducing false alarms and considering human behavioral patterns.Pitched to several client and investor groups and participated in brainstorming sessions.Collaborated with cross-functional teams and clients to deploy the solution in India’s largest examination (IIT-JEE, EAMCET, SRM-JEE ), ensuring seamless integration and functionality with existing architecture and minimizing additional costs. Lead and trained 2 interns.

VLSI design & Analog engineer

Grew the club from 30 people community to a 400+ communityCreated a valuable brand around SRMCC and stirred interest in cycling, in and around campus. Created 2 Full fledged Cyclothon with industry sponsorship. Spread awareness on urban cycling and its attributes. Introduced bike sharing systems.Lead a group of dedicated cyclists to regular and frequent club rides.

Observation and documentation of the use of RADARs by the Armed Forces of India . Antenna design, Signal Processing, transmission of signals ( communications ).