Insurance Agent
Oct 2023 — Current
Lead insurance presentations and community building, collaborative reviewing of insurance policies, and presented policies for education and women's benefits.
About
Passionate Data Science student with expertise in analytics and predictive model building. Technical proficiency in Python, R, SQL, and machine learning libraries including sci-kit-learn, TensorFlow, PyTorch, and Keras. Experienced in data interpretation and problem-solving with a strong ability to adapt to new environments and work effectively in teams.
Work Experience
Projects
Graph Net
Web Crawling, Graph Networks, Knowledge Management
Intelligent Knowledge Graph for Data Science Learning. Designed and developed a specialized knowledge graph platform using web crawling techniques, implementing a log-weighted graph network with token system for concept classification.
ARG Data and Modeling
Python, TensorFlow, PyTorch, Pandas, NumPy, Matplotlib, Seaborn
No-Code Data Science Platform with drag-and-drop modules for data analysis, preprocessing, and model building. Integrated with TensorFlow, PyTorch, Pandas, and NumPy.
Dynamic R Dataset Analysis and Visualization
R, Shiny, Statistical Analysis
No-Code Statistical Analysis Tool built in R with interactive features for statistical analysis and data visualization.
Stock Price Prediction
Python, Linear Regression, Yahoo Finance, Sklearn
Stock price prediction model using Linear regression in machine learning.
Stock Analysis and Comparison Tool
Python, BeautifulSoup, yfinance, Streamlit
Website for stock price analysis and comparison between two stocks.
Skills
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Python — Advanced
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R Programming — Advanced
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SQL — Advanced
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Machine Learning — Advanced
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Deep Learning — Advanced
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TensorFlow — Advanced
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PyTorch — Advanced
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Tableau — Intermediate
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PowerBI — Intermediate
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Git — Intermediate
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MongoDB — Intermediate
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Neo4j — Intermediate
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Web Development — Intermediate
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Statistics — Advanced
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Matlab — Intermediate
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Java — Intermediate
Education
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Vellore Institute of Technology - AP — Masters in Data Science
2024 — 2026
CGPA: 8.48, Focus areas: data preprocessing, statistical analysis, machine learning, deep learning
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Babasaheb Bhimrao Ambedkar Bihar University — Bachelor in Mathematics
2020 — 2023
Research Publications
Investigating the Synergistic Effects of Learning Rate, Optimizer, and Activation Function on Convolutional Neural Network Training
This research presents a comprehensive analysis of various training techniques for Convolutional Neural Networks (CNNs) in image classification. The study compares different optimization algorithms, learning rate schedules, and data augmentation strategies to identify the most effective combination for improving model accuracy and reducing training time.
Technologies: PyTorch, TensorFlow, OpenCV, NumPy, Scikit-learn
Languages
Hindi
Native
English
C2 - Proficient
German
A2 - Basic
Certifications
- Oracle Cloud Infrastructure 2025 Generative AI Professional Oracle 2025
- German A1, A2 IIT Madras 2023
- Python for Advanced Machine Learning NIT Warangal 2021
- AWS Cloud Essentials AWS 2025
- Data Analytics and Visualization Job Simulation Accenture North America 2021
- TCS iON Career Edge - Young Professional Tata Consultancy Services 2024
Contact
Tap to call or email:
Call: (+91) 7888873321 Email: abhishek.k.jalandhar@gmail.com