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Objective

Passionate and results-oriented with expertise in Python, Sql, NLP, Machine Learning, and Deep Learning. Possesses a strong analytical background with proven skills in developing and optimizing mathematical models for predictive analytics and optimization. Adept at leveraging advanced data science tools and libraries to generate actionable insights and solve complex quantitative problems.

Professional Experience
Clarista Trainee (Data Engineer), Clarista Technologies Pvt. Ltd.
09/2024 – present | Pune, India
  • Maintained CI/CD to automate data collection and integration from multiple sources.
  • Cleaned, transformed, and preprocessed data using Python and SQL to analyze existing tables and generate new ones.
  • Designed and implemented interactive dashboards and reports, delivering actionable insights.
  • Optimizing prompts & Backened Detailed for GenAI to improve correctness of response, processing efficiency, and response times.
  • Internships
    Software Development Training, Mthree Talent Solutions pvt ltd
    02/2024 – 04/2024 | Remote
  • ·Acquired comprehensive knowledge and hands-on experience in cutting-edge technologies such as Java, Spring Framework, Azure, and cloud computing platforms.
  • Designed & developed a full-stack web application to manage bookstore inventory, sales, and customer interactions.
  • Implemented comprehensive unit, integration, and end-to-end tests to validate functionality, performance, and security of the system.
  • 06/2023 – 07/2023 | Mohali, India
  • Designed & implemented a sophisticated framework to extract statistical features from video frames, unveiling intricate user engagement patterns & significantly enhancing content strategy with precise viewer behavior insights.
  • Developed an advanced anomaly detection system focusing on the eye region, capable of identifying unusual eye movements with high accuracy, thereby contributing to improved behavioral analysis and security protocols.
  • Created an innovative neurofuzzy neural network to assess semantic similarity between resumes and job descriptions using BERT embeddings.
  • Devised a unique approach by incorporating fuzzy logic to compute ranks from various similarity scores, thus refining the recruitment process with unparalleled precision in candidate-job matching
  • Focusing on Triple Data Encryption Standard (3DES) algorithm for image security. Incorporated user prompts, hashing for key adjustment, and three-stage encryption/decryption process.

    Skills
    Technical Skills :-
    • Programming Languages : Java, Python, SQL,Trino, M Language (PowerBI), PySpark
    • Tools: Pandas, Numpy, Scikit-learn, TensorFlow, Pytorch,
    • Databases: MySQL, MongoDB
    • Machine Learning: Supervised/Unsupervised Learning, NLP, Computer Vision, Time Series Analysis (Prophet, AutoTS), LLMs (GPT-3/4)
    • Frameworks: Flask
    • Cloud & DevOps: AWS & Azure
    Additional Skills :-
    • Strong problem-solving and analytical abilities.
    • Excellent communication in technical and business contexts.
    • Committed to continuous learning and adapting to new technologies.
    Projects
    Enhancing Fake News Detection with Adaptive Rational Guidance Using LLM(GPT-4, GPT-3.5, Claude-3.5) Generated Features, Thesis
    08/2023 – 05/2024
  • Developed adaptive rationale features using LLMs to enhance small language model performance in fake news detection.
  • Achieved an accuracy of 85.90% with the model, demonstrating effective class differentiation and achieving an AUC score of 89.2.
  • Applied advanced LLM-generated features to improve testing accuracy and model validation in identifying misinformation.
  • Credit Card Fraud Detection, IIT Roorkee
    06/2023 – 07/2023
  • ML (Classification): Designed and deployed a robust classification model for detecting credit card fraud, leveraging AWS and Flask for real-world implementation, demonstrating proficiency in model deployment and operational efficiency.
  • Diamond Price Prediction, IIT Roorkee
    03/2023 – 05/2023
  • ML(Regression): Implemented a Random Forest Regression model to accurately predict diamond prices, showcasing expertise in data-driven decision-making and predictive analytics.
  • Shredder Alert System, Self Project
    07/2023 – 09/2023

    OpenCV: Developed an advanced alarm system utilizing OpenCV for real-time human presence detection in restricted areas, significantly improving industrial safety protocols and compliance.

    Education
    M.tech: Data Science, IIT Roorkee
    07/2022 – 06/2024 | Roorkee, India
    08/2015 – 05/2019 | Bhopal, India
    Certificates
    Extra Curricular
    Teaching Assistant for School Academic Program Committee (ScAPC), MFS of data science and AI, IIT Roorkee
    01/2024 – 05/2024
  • Providing input and feedback on the curriculum and course content to ensure it remains relevant and up to date with industry standards
  • Teaching Assistant for Time Series Analysis, MFS of data science and AI, IIT Roorkee
    08/2023 – 11/2023

    Conducted weekly Time Series Analysis tutorials, emphasizing statistical concepts and practical application of R programming.

    Mission Education Foundation, Member
    07/2017 – 05/2017 | Bhopal, M.P.

    M.E.F. is an N.G.O., initiated by alumni of NIT-B, to serve the cause of providing quality education

    Division Level Chess Competition, Sagar Division (M.P.)
    08/2011 – 08/2011

    Qualified from District level competition to represent the school in the Division Level Chess Competition.

    Languages
    English
    Urdu
    Hindi