VEMULAPALLI JAGADEEP
Hyderabad
Summary
Adaptable professional with a quick-learning ability and a talent for adjusting to new environments. Skilled in rapidly acquiring new knowledge and applying it effectively. Driven by a passion for continuous learning and successfully navigating change.
Overview
2
2
years of professional experience
Work History
Solution Intelligence Analyst |
Essex Lake Group
07.2024 - Current
- Currently working on developing a conversational AI agent using OpenAI that performs data analysis by using only metadata, without exposing sensitive business data.
- Worked alongside diverse teams to successfully implement a highly accurate machine learning model (85%) for predicting defaulters in loan repayment across multiple sectors.
- Designed SQL stored procedures for extracting data from governed tables, resulting in direct actionable insights.
- Automated Managerial Reports using SQL and created KPIs to evaluate employee performance and streamline decision making.
- Led customer retention analysis for a major U.S. Retail bank, identifying key attrition drivers, customer segments, and profitability insights to enhance retention strategies.
- Automated diverse processes in Python, eliminating the need for manual review of test attributes and guidelines on customer accounts.
Data Science Intern |
Info Edge (India) Limited
05.2022 - 07.2022
- Built a Spam Detection model for Naukri RMJ (Recruiter Mail to Jobseeker) Using Random Forest based Cascaded Approach
- Used LSTM sequential model to get the Spam score after pre-processing the message using NLP techniques
- Cascaded LSTM score as a seperate feature to Random Forest Classifier along with other extracted features
- Created an API using Flask to deploy the model that predicts live RMJ spam score.
Education
M.Tech - Artificial Intelligence And Machine Learning
Indian Institute of Technology Kharagpur
B.Tech - Aerospace Engineering
Indian Institute of Technology Kharagpur
Intermediate Public Examination -
Narayana Junior College
Skills
- C
- C
- Python
- SQL
- SAS
- OpenAI
- Langchain
- Spark
- TensorFlow
- PyTorch
- Matlab
- Git
- Numpy
- Pandas
- Scikit-Learn
- Seaborn
PROJECTS
Prediction of PPI using GNN | Masters' Thesis
Overview : To develop a effective Graph Neural Network (GNN) model to predict Protein-Protein Interactions (PPI)
- Developed a GNN model using GCN and GAT for predicting PPI by representing protein structure as a graph
- Employed pre-trained models like SeqVec and ProtBert to get the feature vector for each node in the graph
- Empowered the Graph representating learning using the techniques like paired training and graph co-attention
Capstone Project - Clustering
- Analyzed and selected the best locations in the city of Chicago,with a motive to establish a new shopping mall
- Extracted the list of neighborhood data by Web scraping using Python requests and beautifulsoup packages
- Used the Geocoder package to convert addresses into geographical coordinates into latitudes and longitudes
- Employed the Foursquare API to obtain top 100 venues and performed clustering by using k-means clustering
Medical Expense Prediction - Regression
- Performed extensive EDA on the dataset, with an objective to predict future medical expenses of patients
- Data Cleansing led to pinpointing Smoking and BMI as the most influential factors on the costs borne by patients
- Trained the dataset on different regression models like Linear regression, Random Forest and Gradient Boosting
- Achieved a R^2 score of 0.894 in case of Gradient Boosting, maximum score among the trained models
Coursework information
Programming and Data Structures | ML: Foundations and Applications| Data Visualization with Python | Probability and Statistics | DL: Foundations and Applications | Databases and SQL for Data Science |Linear Algebra for AI and ML | Database Management System | Graph ML: Foundations and Applications | AI: Foundations and Applications| Data Analysis with Python | Graphical and Generative Models for ML
Accomplishments
- Secured an All India rank 2866 in JEE Advanced 2018 and among top 1% of 1.5 million candidates in JEE Main 2018
- Secured a state ranks of 384 in AP EAMCET and 385 in TS EAMCET, State Engineering Entrance Exams 2018
Timeline
Solution Intelligence Analyst |
Essex Lake Group
07.2024 - Current
Data Science Intern |
Info Edge (India) Limited
05.2022 - 07.2022
M.Tech - Artificial Intelligence And Machine Learning
Indian Institute of Technology Kharagpur
B.Tech - Aerospace Engineering
Indian Institute of Technology Kharagpur
Intermediate Public Examination -
Narayana Junior College
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