Duggeni Mahesh

Data analyst

Bengaluru

Summary

Enthusiastic Data Analyst with a passion for extracting valuable insights from complex datasets. Proficient in data analysis, machine learning, and statistical modeling. Dedicated to driving data-driven decision-making and delivering impactful solutions.

Work History

MEDICAL INSURANCE PREMIUM PREDICTION ML MODEL

Python(NumPy, Pandas, Scikit-learn), Machine Learning

Developed a health insurance premium prediction model using Python, leveraging libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.
Conducted extensive data analysis and preprocessing tasks, including handling categorical variables, to ensure data quality and integrity.
Implemented the Random Forest regression algorithm from Scikit-learn for model training, achieving accurate predictions by considering factors such as age, gender, BMI, smoking status, and region.
Deployed the trained model for practical use, demonstrating proficiency in utilizing machine learning libraries to address real-world challenges within the health insurance domain.

SALES DATA ANALYSIS OF ”THE BIKE HEAVEN”

( SQL, Tableau )

Coordinated in a team of four to program micro-services including NETCONF client, Configuration, and Performance Management Application as a part of the 5G Network Management Station
Developed a REST API and used NATS messaging to enable communication between various micro-services and using protocol buffers to serialize the data between different microservices
Integrated the distinct micro-services and deployed the project on cloud server by building Docker containers for all the applications along with working on technologies like InfluxDB and Kubernetes

Education

B.Tech - Computer Science & Engineering (Data Science)

Acs College of Engineering

Bengaluru, India

Skills

● Programming Languages: Python, Java, SQL
● Tools: MS Excel, Advanced Excel, Jupyter Notebook
● Libraries & Frameworks: Scikit-learn, NumPy, pandas, Seaborn, Matplotlib
● Concepts & Techniques: Machine Learning, Data Visualization

EXTRA-CURRICULAR ACTIVITIES

Participated in a 24-hour hackathon and developed a web-based Doctor Appointment Booking System.
Enabled users to register, browse doctors by specialization, and book appointments online.
Focused on enhancing user experience and improving healthcare accessibility through technology.

POSITIONS OF RESPONSIBILITY

Selected as the Auctioneer for the IPL Auction event conducted during the college annual fest.
Led the event by managing bidding rounds, engaging the audience, and maintaining the flow with clear communication.
Demonstrated strong public speaking, leadership, and event coordination skills in a high-energy environment.