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Data Scientist @LTIMindtree | Computer Vision | Image Processing | NLP
A highly motivated and driven individual who is always looking for new challenges and confident about making a significant contribution to any company after joining. • Passionate for artificial intelligence and machine learning. • Skilled with Python, SQL, deep learning, and other programming languages. • Hands-On with using TensorFlow, Keras, and NumPy. • In addition to technical skills, a strong communicator and team player • Able to work effectively in a team environment and collaborate with others to achieve common goals.
Kalinga Institute of Industrial Technology, Bhubaneswar
Master of Technology - MTech, Computer Science and Engineering
September 1, 2021 – May 1, 2023
Kalinga Institute of Industrial Technology, Bhubaneswar
Bachelor of Technology, Computer Science
August 1, 2016 – September 1, 2020
LTIMindtree
Data Scientist
November 1, 2025 – Present
Kolkata, West Bengal, India
Starinco
Machine Learning Engineer
October 1, 2024 – September 1, 2025
Kolkata, West Bengal, India · On-site
Metapix
Computer Vision Engineer
October 1, 2023 – July 1, 2024
Bengaluru, Karnataka, India · Remote
School of Computer Engineering, KIIT DU
Teaching Assistant (TA)
October 1, 2021 – May 1, 2023
Bhubaneswar, Odisha, India · Hybrid
Detailed Time Series Analysis and Forecasting of a Single Stock
May 1, 2024 – May 1, 2024
Conducted a comprehensive time series analysis and forecasting of Apple Inc.'s stock prices from 2010 to 2024. The project involved data preprocessing, exploratory data analysis, time series decomposition, stationarity testing, and ARIMA model development to predict future stock prices. Achieved a forecast evaluation with RMSE of 41.28.
Vehicles Image Classification
June 1, 2023 – July 1, 2023
This is a Image Classification project between vehicles and non-vehicles.
Brain Stroke Detection Using Deep Learning Networks
June 1, 2022 – May 1, 2023
This is a image processing solo M.Tech Thesis project that aims in identifying the brain stroke of the patient's images by using different types of deep learning models like VGG-16, VGG-19, InceptionV3 with different optimizers such as adam, rmsprop and adagrad. To find whether the image has brain stroke or not
Cultural Fit Analysis
The candidate's project diversity, including time series analysis, medical image processing, and general image classification, shows a broad interest within the ML domain. The roles held (Data Scientist, ML Engineer, Computer Vision Engineer) align well with the target ML Engineer role. However, the lack of explicit team-based project descriptions or contributions beyond a thesis collaboration makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant suggests some communication and collaboration skills. Project descriptions indicate an ability to work independently on complex technical tasks. However, specific soft skill assessments are not available.