M Naveen Kumar Email & Phone Number

Karnataka, India

Bangalore Urban, Karnataka, India

Projects:1. Worked on a comprehensive analysis of the agent base, formulated strategies to improve Agent Activation. Segmented agents into three sets considering Agent Vintage and various demographic factors. Developed an Agent Activation Model to monitor low-performing agents. Provided data-driven recommendations to the Sales Support team, aiming to boost the Agent Activation Ratio.2. Lapse Prevention Models Implementation: Worked on models for preventing revenue leakage in the 13th Month and policies aged 25th Month & above. Established policy prioritization based on model outputs and profitability indicators for Persistency team.3. Early Claims Prevention and 13th Month Issuance Models: Worked on models during the pre-issuance stage to assist the Underwriting team. Aimed at minimizing the risk of fraudulent claims and enhancing the overall business quality.

Hyderabad Area, India

Projects:1. Conducted data analysis for "The Magic Straw" eatery, emphasizing weekly and monthly sales data interpretation for top-selling beverages. Generated statistical reports, recommended combos based on customer preferences, and facilitated sales comparisons across branches for informed decision-making.2. Worked on "Corona World Pulse," a Python-Django Dashboard website providing real-time graphical COVID-19 statistics. Utilized web scraping, advanced data science libraries (Plotly, folium), and implemented automated CronJob for regular dashboard updates. Deployed on Heroku for accessibility.3. Contributed to "APSS EMS," an internal timesheet capture project for employees and contractors. Features include IP address logging, profile and timesheet management, and an integrated leave system. Automated email notifications inform project leads and managers about leave requests, allowing them to respond. Admin privileges are exclusive to the website administrator.4. Contributed to "URP," a Python Django web application using NLP for resume parsing. Efficiently extracts candidate information from various resume formats, streamlining the hiring process. Developed reusable Python code for text analysis, enhancing the Resume Parser's efficiency.R&D Use Cases:1. Implemented object detection and recognition using CNN models, leveraging predefined models like VGG16 and ResNet for accurate results.2. Worked on a deep learning classification model for Diabetic Retinopathy, showcasing applications in healthcare.3. Contributed to the detection of vehicle number plates from images, successfully extracting registration numbers using deep learning techniques.

Ponnur, Andhra Pradesh, India

As a Statistics Lecturer for undergraduate students, I instructed a three-year course in Statistics, covering the following papers from university curriculum:1. Descriptive Statistics, Probability, Mathematical Expectations, and Probability Distributions.2. Statistical Methods and Inference, 3. Applied Statistics,4. Quality, Reliability, and Operations Research.5. Sampling Techniques and Design of Experiments.6. Optimization Techniques I actively contributed to the academic growth and development of students throughout the entire course duration.

Master'S Degree, Statistics, A+

Bachelor Of Science - Bs, Mathematics,Statistics And Computer Science, A+