Summary
Overview
Work History
Education
Skills
Projects
Timeline
Generic
LAHARI CHAMARTHI

LAHARI CHAMARTHI

Harrison,NJ

Summary

Data Analyst with advanced degrees in Data Science and Computer Science. Proficient in Python, SQL, and Tableau, with a strong focus on statistical analysis, machine learning, and data-driven decision-making. Experienced in optimizing customer retention and enhancing marketing strategies. Seeking a role to deliver impactful business insights.

Overview

3
3
years of professional experience

Work History

Data Analyst

Top Edge Technologies
Nutley, NJ
01.2023 - Current
  • Designed and implemented a Sales Performance Dashboard for the Marketing Department.
  • Developed a real-time sales performance dashboard for tracking and analyzing key performance indicators (KPIs) essential to enhancing sales.
  • Utilized SQL for efficient data querying, harnessed Python (including libraries like pandas and NumPy) for sophisticated data manipulation, and employed Tableau for dynamic data visualization.
  • Enhanced data handling by implementing efficient techniques in SQL and Python for processing and cleaning large datasets, ensuring analysis-ready high data integrity.
  • Applied regression models in analytical modeling to forecast sales trends, further augmenting the strategic planning capabilities of the marketing team.
  • Designed interactive Tableau dashboards to visualize data and enable non-technical users in exploring insights and making informed decisions.
  • Successfully increased targeted sales activities by 10% after six months of dashboard implementation.

Environments: SQL, Python, Tableau, ML Libraries, GitHub, Jira.

Software Engineer Intern

Capgemini Technology Services
Hyderabad, India
02.2022 - 05.2022
  • Developed an Electronic Smart Customer Service app, enhancing post-sales assistance.
  • Developed an efficient Online Complaint Portal for seamless complaint registration, complete with a personalized complaint number, resolution date, status updates, and engineer information.
  • Orchestrated innovative application development to enhance after-sales services.
  • Enabled seamless customer complaint registration via the Online Complaint Portal.
  • Contributed to the development and deployment of the Electronics Services application using Spring Boot, Maven, and RESTful API services.
  • Ensured streamlined data management by maintaining PostgreSQL database backend integrity.
  • Implemented Git and GitHub for collaborative development while actively engaging in version control.
  • Led progress tracking and collective problem-solving meetings on a regular basis.
  • Leveraged Jenkins for continuous integration and deployment, automating build processes.
  • Implemented Swagger for API documentation and facilitated training sessions to enhance team proficiency in testing as well as client generation.
  • Managed project progress and issue resolution through regular meetings, utilizing Jira for comprehensive project tracking.
  • Delivered comprehensive reports to stakeholders, facilitating a transparent overview of project progress.

Environments: Java, Spring Boot, Maven, RESTful APIs, GitHub, Jenkins, Swagger, Docker, Kubernetes, JIRA, Postman, and PostgreSQL.

Education

Master’s in data science -

New Jersey Institute of Technology
NJ
12.2023

Bachelor of Technology in Computer Science -

Jawaharlal Nehru Technological University
Anantapur
07.2022

Skills

  • Programming & Web Developement: C, Java, J2EE, HTML, CSS, Spring Boot, REST API, R, Python
  • DevOps Tools: Git, Jenkins, Swagger, Postman
  • Data Science & Problem Solving: SQL, MySQL, NoSQL, PostgreSQL, Ansi SQL, ML algorithms, Python Libraries, Agile and Waterfall Models
  • Other Tools: Android Stuio, Eclipse, VSCode, MS Excel, Tableau, Rapid Miner and Alteryx

Projects

Predicting Future Sales: Conducted data analysis, utilized XGBoost Regressor for 94% accurate sales prediction, and demonstrated proficiency in Python and XGBoost for regression modeling. 

Price Prediction of Used Automobiles: Analyzed Car Dekho dataset, built predictive models with linear regression and random forest, and implemented feature engineering techniques for price prediction. 

Analyzing Film Popularity on Streaming Platforms: Conducted EDA on a film dataset, used K-Means and O-Clustering data mining models, and analyzed factors influencing film ratings, showcasing skills in data analysis, mining, and visualization. Utilized Tableau to visualize the results.

Timeline

Data Analyst

Top Edge Technologies
01.2023 - Current

Software Engineer Intern

Capgemini Technology Services
02.2022 - 05.2022

Master’s in data science -

New Jersey Institute of Technology

Bachelor of Technology in Computer Science -

Jawaharlal Nehru Technological University
LAHARI CHAMARTHI