Vemulapalli Jagadeep
Gurgram
Summary
Dynamic Solution Intelligence Analyst with a proven track record at Essex Lake Group, specializing in AI-driven analytics and machine learning. Successfully launched 'EyeAsk,' enhancing decision-making through natural language insights. Skilled in Python and SQL, I excel in collaboration and innovation, delivering impactful solutions that drive customer retention and operational efficiency.
Overview
4
4
years of professional experience
Work History
Solution Intelligence Analyst II
Essex Lake Group
Gurugram
01.2025 - Current
- Built and launched 'EyeAsk,' an AI-powered conversational analytics assistant, enabling users to ask natural-language questions and receive insights, while ensuring sensitive business data remains protected through a metadata-driven approach.
- Owned the full development lifecycle from algorithm design to pilot readiness, including validation of query handling, business logic coverage, and edge-case testing, ensuring the solution was stable and reliable for real user scenarios.
- Partnered with design and engineering teams to deploy EyeAsk on the enterprise platform, delivering an integrated experience with automated insight generation and visual reporting to support faster decision-making.
Solution Intelligence Analyst
Essex Lake Group
Gurugram
07.2023 - 12.2024
- Led customer retention analysis for a major U.S. company. Retail banks identify key attrition drivers, customer segments, and profitability insights to enhance retention strategies.
- 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.
Data Science Intern
Info Edge (India) Limited
Noida
05.2022 - 07.2022
- Built a spam detection model for Naukri RMJ (Recruiter Mail to Jobseeker) using a random forest-based cascaded approach.
- Used an LSTM sequential model to get the spam score after preprocessing the message using NLP techniques.
- Cascaded the LSTM score as a separate feature to the random forest classifier, along with other extracted features.
- Created an API using Flask to deploy the model that predicts the live RMJ spam score.
Education
Dual Degree (M.Tech) - Artificial Intelligence and Machine Learning
Indian Institute of Technology Kharagpur
05-2023
B.Tech - Aerospace Engineering
Indian Institute of Technology Kharagpur
Skills
- Python
- Pandas
- SQL
- Machine Learning
- Deep Learning
- OpenAI
- LangChain
- Git
Masters Thesis
Prediction of PPI using GNN
Overview: To develop an effective graph neural network (GNN) model to predict protein-protein interactions (PPI)
- Developed a GNN model using GCN 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 representation learning using techniques such as paired training and graph co-attention
Accomplishments
- Secured an All-India rank of 2866 in JEE Advanced 2018 and ranked among the top 1% of 1.5 million candidates in JEE Main 2018.
- Secured state ranks of 384 in AP EAMCET and 385 in TS EAMCET, State Engineering Entrance Exams 2018.
Timeline
Solution Intelligence Analyst II
Essex Lake Group
01.2025 - Current
Solution Intelligence Analyst
Essex Lake Group
07.2023 - 12.2024
Data Science Intern
Info Edge (India) Limited
05.2022 - 07.2022
Dual Degree (M.Tech) - Artificial Intelligence and Machine Learning
Indian Institute of Technology Kharagpur
B.Tech - Aerospace Engineering
Indian Institute of Technology Kharagpur