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Data Science @ Future AGI | Project Trainee @ CAIR-DRDO | ME CS @ BITS-Pilani, Hyd Campus
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future-agi
Data Scientist
June 25, 2026 – Present
Time-Series-Forecasting-of-Bike-Rental-Demand-using-XGBoost
November 12, 2024 – November 12, 2024
A robust XGBoost-based predictive model to forecast bike rental demand by using historical time-series data
View ProjectFine-Tuning-Florence-2-DocumentVQA
November 2, 2024 – November 2, 2024
Fine-tuning multimodal Florence-2 model for visual question answering system for scanned documents
View Projectsahilnishad.github.io
January 14, 2024 – January 21, 2024
sahilnishad.github.io — GitHub repository
View ProjectLLM-powered-LangChain-PDF-Chatbot-using-RetrievalQA-on-ChromaDB
October 25, 2023 – November 2, 2023
An end-to-end AI solution powered by LangChain and LaMini-T5-738M model enables chat interactions with PDFs. Leveraging ChromaDB's capabilities as a vector database, RetrievalQA takes charge of retrieving and responding to queries using the stored information. The system is presented seamlessly through a user-friendly Streamlit interface.
View ProjectFine-Tuning-BERT-for-Token-Level-GED
October 23, 2023 – November 2, 2024
Fine-tuning BERT-based models for token-level binary grammatical error detection on English-FCE dataset provided by MultiGED-2023
View ProjectBERT-from-Scratch-with-PyTorch-for-PCA-Embedding-Visualization
October 21, 2023 – November 2, 2023
Implementing BERT model from the paper "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" using PyTorch
View ProjectIntegrated-ETL-Pipeline-and-Interactive-PowerBI-Dashboard-for-Bank-Marketing-Insights
October 20, 2023 – October 20, 2023
This project transforms bank marketing data using an ETL process in Python, feeding a PostgreSQL database and visualized in a real-time PowerBI dashboard.
View ProjectTCP-Chat-App-Using-Sockets
July 23, 2023 – July 23, 2023
TCP-Chat-App-Using-Sockets — GitHub repository
View ProjectForecasting_COVID-19_Cases_Using_FB_Prophet
May 31, 2020 – June 4, 2020
Time-series forecasting of COVID-19 cases using FB Prophet
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-directed learning and exploration of cutting-edge AI/ML technologies. The projects are diverse, covering NLP, time-series, multimodal AI, and data engineering, which suggests adaptability and a broad interest in the data science domain. However, the lack of team-based projects or professional experience beyond a current role with no specified duration makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive learning approach and ability to execute complex technical tasks independently.