Data Scientist and Machine Learning Engineer
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer
Data Scientist
June 16, 2026 – Present
money-bot-chatbot-classifier
May 14, 2019 – May 22, 2019
This a is chatbot as well as classifier model which predicts whether user is asking to do some work or not.
View Projectmoneybot-scrapper
May 3, 2019 – December 8, 2022
This application scraps live stock from financial website and saves to Mongodb
View Projectkaggle-microsoft-malware-prediction
March 11, 2019 – March 31, 2019
kaggle-microsoft-malware-prediction — GitHub repository
View Projectkafka-to-mongo
March 8, 2019 – March 9, 2019
Sample code to fetch data from Kafka topics and save it to Mongo DB
View Projectnamo-raga-twitter-battle-web-app
March 2, 2019 – March 24, 2019
Namo Raga twitter battle web app
View Projectkafka-to-dashboard
January 9, 2019 – March 9, 2019
This is a spark streaming application which demonstrates how to get tweets from Kafka topic and get sentiment and aggregate by sentiment.
View Projectsentiment-classifier-tensorflow
December 4, 2018 – April 23, 2019
This is a sentiment classifier using LSTM with attention custom estimator in Tensoflow
View Projectnamoragatwitterbattle-clientapp
November 26, 2018 – March 10, 2019
Sentiment analysis of Twitter for Narendra Modi and Rahul Gandhi
View Projectloan-application-analysis
June 25, 2017 – July 30, 2017
A model to assess whether a loan can be allocated to a applicant or not based on historical loan approval status
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, aligning with the target role. However, the experience section lists 'Machine Learning Engineer' as the company and 'Data Scientist' as the role, which is unusual and lacks clarity. The candidate's experience level is listed as 0, which contradicts the project complexity and the current role listed as 'Data Scientist'. This discrepancy makes it difficult to accurately assess cultural fit and career trajectory.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.