Oshmita Sarkar
ML EngineerSDE @ Amazon Web Services
Amazon Web Services (AWS)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SDE @ Amazon Web Services
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As computer science major, I have aspired to work in a challenging development position. My journey is propelled by a desire to collaborate with peers and create impactful innovations that resonate with our collective quest for advancement.
Kalinga Institute of Industrial Technology, Bhubaneswar
Bachelor of Technology - BTech, Computer Science and Engineering
January 1, 2020 – January 1, 2024
Army Public School Barrackpore
Class 12 CBSE Examinations, Biology/Biological Sciences, General, Mathematics
January 1, 2019 – January 1, 2020
Central Model School, Barrackpore
Class 10 CBSE Examination
January 1, 2017 – January 1, 2018
Amazon Web Services (AWS)
SDE
May 1, 2025 – Present
Berlin, Germany · On-site
Forma.ai
Analytics Engineer
June 1, 2024 – March 1, 2025
Pune District, Maharashtra, India · On-site
Forma.ai
Analytics Engineer Intern
June 1, 2023 – June 1, 2024
Pune District, Maharashtra, India · On-site
Metapix
AI Fellow
March 1, 2023 – June 1, 2023
George Town, Cayman Islands · Remote
Harvard Project for Asian and International Relations (HPAIR)
Delegate
February 1, 2023 – February 1, 2023
Harvard, Massachusetts, United States · Remote
Newron
Machine Learning Intern
December 1, 2022 – February 1, 2023
Udacity
AWS ML Scholar
November 1, 2022 – March 1, 2023
Indraprastha Institute of Information Technology, Delhi
Research Intern
June 1, 2022 – July 1, 2022
FlixDrop CHMS
Data Science Intern
April 1, 2022 – June 1, 2022
Bengaluru, Karnataka, India
IoT Lab, KiiT
Member
February 1, 2022 – May 1, 2022
PlotMyData
Data Science Intern
January 1, 2022 – March 1, 2022
Udacity
Bertelsmann Technology Scholar
December 1, 2021 – February 1, 2022
National Engineering Olympiad
Campus Ambassador
November 1, 2021 – December 1, 2021
Microsoft Learn Student Ambassadors KiiT
Project Member
October 1, 2021 – December 1, 2021
IN4MALS KIIT
Assistant Coordinator
April 1, 2021 – January 1, 2022
Medi-Assist
April 1, 2023 – April 1, 2023
The project aims to develop a software that utilises ChatGPT to simplify complex medical jargons between patients and doctors. By taking the symptom as the input we have a detailed diagnosis and medication recommendations for the patient in the user interface. Based on that the doctor may add or remove stuff from there.
Chatbot
January 1, 2022 – January 1, 2022
This is an NLP-based chatbot that uses Recurrent Neural Networks (RNN) to predict the answers for the questions asked by the user.
Detecting Parkinson's disease
December 1, 2021 – December 1, 2021
In this Python machine learning project, we learned to detect the presence of Parkinson’s Disease in individuals using various factors. We used an XGBClassifier for this and made use of the sklearn library to prepare the dataset. XGBoost is a new Machine Learning algorithm designed with speed and performance in mind.
Fake news detection
December 1, 2021 – December 1, 2021
This project is based upon a classification problem of classifying news as fake or real. The PassiveAggressiveClassifier model was used for this purpose. The model achieved an accuracy of 95.11 %. Lastly, Type-I and Type-II errors were identified.
Bullying the bully
November 1, 2021 – November 1, 2021
This project aims towards conserving anti-bullying rights on social media. It is built with the objective that users of social media are not a victim of cyberbullying or trolls online. We created a NLP based discord bot using the dataset we collected from Kaggle, that takes the recent texted message from the server, runs analysis and predicts if the text is offensive to any person on the server or not. If it finds the text offensive then it deletes the text and messages the Administrator of the server to block the person that sent the message.
Music Recommendation Web App
October 1, 2021 – December 1, 2021
This is a music recommendation engine that suggests songs to the user through an interactive UI, based on their past listening history. For, the machine learning model, we have used KMeans Clustering Algorithm which is a type of unsupervised learning.
Practical Machine Learning using R
Coursera
June 25, 2026 – Present
Problem Solving (Intermediate)
HackerRank
June 25, 2026 – Present
Data Science
Internshala
June 25, 2026 – Present
Problem Solving (Basic)
HackerRank
June 25, 2026 – Present
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.AI
June 25, 2026 – Present
Project Completion Certificate
Personifwy
June 25, 2026 – Present
Visualizing Filters of a CNN using TensorFlow
Coursera
June 25, 2026 – Present
Develop a Company Website with Wix
Coursera
June 25, 2026 – Present
Introduction to Machine Learning
Coursera
June 25, 2026 – Present
Data science Internship Programme
1Stop.ai
June 25, 2026 – Present
Machine Learning and Image Processing
Cisco thingQbator - IIT (BHU)
June 25, 2026 – Present
Learn Python Programming Masterclass
Udemy
June 25, 2026 – Present
Structuring Machine Learning Projects
DeepLearning.AI
June 25, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background and a wide array of personal projects and internships, indicating a high level of initiative and self-motivation. The projects cover diverse applications of ML and NLP, suggesting a broad interest in the field. The experience as an 'Analytics Engineer' and 'SDE' at AWS (future role) indicates an understanding of industry practices and a potential for growth within structured environments. However, the lack of explicit team-based project descriptions or contributions makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying various machine learning techniques. The diverse internship experiences suggest adaptability and a willingness to engage in different aspects of data science and ML. However, without psychometric test results, a detailed assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.