top of page

Welcome to My Professional Story!

Innovating with Data, AI, and Beyond

Associate Applied Scientist
Vidyam AI

05/2024 – Present

​

1. Led the implementation of AI-driven solutions tailored for schools, enhancing student engagement, and learning outcomes through personalized AI-driven experiences.

2. Fine-tuned a model with NCERT books for improved content accuracy. Refined AI features with cross functional teams to meet educational goals and user needs, ensuring continuous advancement in the EdTech sector.

Applied Scientist Intern
Vidyam AI

02/2024 – 04/2024

​

1. Developed RAG applications, i`mproving data retrieval and the accuracy of AI-generated content.

2. Created a personalized AI teacher solution leveraging adaptive learning techniques and recommendations to deliver customized educational experiences.

Work Experience

Project Experience

01/2024-06/2024

1. Interdependence of stock market indices and oil prices using Copula- Research Project
 

  • As a researcher, the objective was to identify and analyze the dependencies in time series data spanning 10 years (2015-2024) across pre-Covid, during-Covid and post-Covid scenarios using advanced statistical methods and tools to understand risk and inform financial decision-making.

  • Utilized Copula functions to identify the country-specific dependence patterns (India, USA, France and Saudi Arabia).

  • Discovered varying degrees of dependence between stock market indices and oil prices across periods, with increased dependencies during the Covid period. This Research Paper helps in financial analyst to understand the impact of extreme events like the Covid-19 pandemic on global financial markets.

03/2024-05/2024

2. Business 360- Brick & mortar and e-commerce- PowerBI Project

  • Designed a multi-view dashboard in Power Bl for 6 departments (sales, finance, supply chain, executive, marketing, and products) of AtliQ hardware to understand sales trends and facilitate data-driven decisions, which aimed to scale the business processes by 10%.

  • Imported 2 different data sources (MYSQL, and Excel) with more than 1 million records and performed data modeling. 

  • Optimized the report using DAX studio, which saved 30% Of storage and improved performance by 10%.

02/2024 - 04/2024

3. Credit Risk Prediction Model- ML Project

  • Implemented Logistic Regression, Random Forest, and XGBoost models. Addressed class imbalance using SMOTE-Tomek and Random Under Sampler.

  • Improved model performance with feature engineering and hyperparameter tuning using RandomizedSearchCV and Optuna.

  • Developed a Streamlit application for real-time risk prediction, achieving a 98% AUC and 0.96 Gini coefficient.

07/2024 - 10/2024

4. End-to-End Multi-AI RAG Chatbots Using LangGraph and AstraDB- GenAI Project

  • Developed an advanced RAG-based chatbot architecture, using multi-AI routing for accurate, context-driven responses and improved user experience.

  • Integrated vector stores with Huggingface embeddings and Wikipedia API for semantic query understanding and precise, relevant information retrieval.

2022 - 2024

Master of Science in Data Science and Management | IIT Indore & IIM Indore

  • Obtained a Master’s degree in Data Science, focusing on Advanced AI, Machine Learning, Deep Learning, and Statistical Methodologies, along with management expertise. The program equipped me with the knowledge and skills necessary to excel in the field of data science.

2015 - 2019

Bachelor of Engineering in Computer Engineering | Babaria Institute of Technology and Science (BITS)

  • Completed a Bachelor's degree in Computer Science, where I delved into various facets of computer science, including programming languages, database management, and system analysis. This laid a strong foundation for my career in technology.

Education

Technical
Skills & Expertise

  • Analytical Tools: Power BI, Tableau, Microsoft Office

    Programming: C, Python, R, SQL

    Database: MySQL, PostgreSQL, Redis, Neo4j

    Query Language: Cypher Query

    Python libraries: Pandas, NumPy, Matplotlib, Sci-kit learn, Seaborn, Plotly, Cufflinks, TensorFlow, LangChain, LangGraph, HuggingFace

    Development Tools: Jupyter Notebook, Microsoft Visual Code, PyCharm, Git, GitHub

    Deployment Tools: AWS, GCP, Heroku

  •  

  • Project Management Tools: JIRA

    Others: Statistics, AI, Machine Learning, Deep learning, NLP, RAG.

bottom of page