Sep 2023 – Apr 2024 · 7 mos · Bengaluru, Karnataka, India · Hybrid

• AI Powered text Grader
• A tool offering assistance in creating attention‑grabbing text content.
• Roles and Responsibilities: Championed the entire life cycle of ML pipeline development, encompassing Data Collection, Exploratory Data
• Analysis (EDA), Feature Engineering, Entity Extraction, model selection, and rigorous Evaluation. Introduced innovative solutions at each phase to optimize the
• overall performance of the machine learning system.
• Technical Skills: Python, Pandas, Numpy, Matplotlib, Sklearn, SQL, GCP, BigQuery, Git, Jira, Promt Engineering
• Algorithm Used: Logistic Regression, Random Forest, Naive Bayes, LLM

Apr 2022 – Sep 2023 · 1 yr 5 mos

• I have worked on different problems statement related to retail and planning. I have used many traditional machine learning models like linear regression, decision tree, random forest

Jun 2019 – Apr 2022 · 2 yrs 10 mos

• Experience in development of end to end machine learning product in supply chain domain
• Experience in building and improving machine learning/deep learning models and documentations
• Understanding of fundamental building blocks of neural networks and advanced machine learning algorithm like Regression, Decision Tree, Random Forest, SVM and Naive bayess
• Library Used : pandas, scikit-learn, tensorflow, NLTK, numpy, re,JSON, argparse, logging

Jul 2017 – May 2019 · 1 yr 10 mos · Allahabad Area, India

• Subjects:
• Artificial Intelligence
• Operating Systems
• Data Structures and Algorithms
• Convex optimization
• Data mining
• Rsponsibilities:
• Organised quizzes
• Lab assignment evaluation
• Take tutorials classes