Aman Srivastava
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Heading Pelago AI Labs
An exuberant and self-motivated data scientist with excellent organisational skills and a good eye for detail. With fairly good projects on table, I am thriving hard to get closer to perfection everyday by putting in labour to study concepts and apply them in my projects. Clarity of thought process and articulation is one of the major strengths which most of the time acts as edge over others. With real hunger to expand my knowledge base, I look forward for greater opportunities and challenges to sharpen my analytical skills.
The University of Texas at Austin
Master's degree, Data Science
January 1, 2025 – May 1, 2026
Jaypee Institute Of Information Technology
Bachelor of Technology (BTech), Computer Science
January 1, 2012 – January 1, 2016
Pelago by Singapore Airlines
Lead Data Scientist
January 1, 2025 – Present
Singapore
Pelago by Singapore Airlines
Senior Data Scientist
October 1, 2022 – December 1, 2024
Singapore
Paytm
Senior Data Scientist
January 1, 2022 – October 1, 2022
Pune Division, Maharashtra, India
Notopass
Founder
April 1, 2020 – December 1, 2021
Haptik
Machine Learning Engineer II
March 1, 2019 – January 1, 2022
Haptik
Machine Learning Engineer
March 1, 2017 – February 1, 2019
PropheSee
Data Scientist
September 1, 2016 – February 1, 2017
Greater Delhi Area
Gullak
Data Science Intern
March 1, 2016 – August 1, 2016
Noida, Uttar Pradesh, India
Foodgreed
Co-Founder
September 1, 2015 – July 1, 2016
Noida, Uttar Pradesh, India
LimeTray
Data Analyst Intern
May 1, 2015 – July 1, 2015
East of Kailash
CSC
Collaborative Open Innovation Network (COIN) Developer
January 1, 2015 – April 1, 2015
Noida, Uttar Pradesh, India
Radical Logix
Python Developer Intern
December 1, 2014 – April 1, 2015
Level 5, Tower C, 3C Green Boulevard Plot B-9/A, Sector-62, Noida 201307
Twitter Opinion Mining
April 1, 2015 – Present
Opinion mining is a R tool build on shiny framework for real time Sentiment Analysis of handlles on hourly basis, it helps to campares trends of handles, and also shows the most tweeted word for each handle https://opinion.shinyapps.io/opinion
Dynamic Dashboard
January 1, 2015 – Present
The project is about creating dynamic dashboards of reports on a particular data that are shareable to other users. The project involves data analysis of datasets and creation of data visualisations on them.
Email Spam filter
January 1, 2015 – Present
Spam filter is spam detection tool build in python using Support Vector Machine Learning algorithm.In this we basically apply classification problem to detect whether the given mail is a spam or ham(normal mail).
PyRedisSearch
November 1, 2014 – Present
Pyredissearch is a python module for simple search functionality having search processing in redis for the data store in mongo database.It is build on top of python django framework.
Codeyard a version control system
October 1, 2014 – Present
Codeyard is a git free web based version control system developed on top of MEAN stack and python. Developers can setup public or private repositories for their projects. They can easily upload their code and add their team collaborators. The team can collaborate on the repo using the Codeyard-Editor. All file changes in each commit are stored that can be viewed on the frontend. The project is still under development and aims to add many other features. Feel free to fork and contribute Project url:http://www.github.com/amansrivastava17/codeyard
Json pretifier
September 1, 2014 – Present
Json pretifier is a tools in python which can be used to make your make json file look pretty which make it easily understandable.
Advanced Predictive Models
College of Natural Sciences, The University of Texas at Austin
June 24, 2026 – Present
Advanced Predictive Models
The University of Texas at Austin
June 24, 2026 – Present
Machine Learning
College of Natural Sciences, The University of Texas at Austin
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across different company sizes (startups to large enterprises) and roles (individual contributor to lead/founder) suggests a high degree of adaptability. Their involvement in open-source projects and a master's degree in Data Science from a reputable institution indicates a commitment to continuous learning and staying current with industry trends. The breadth of projects, from opinion mining to credit risk models and chatbot development, shows a versatile skill set that could integrate well into various team structures and problem domains. The target role of 'Data Analyst' seems to be a step down from their 'Lead Data Scientist' experience, which might indicate a potential mismatch in expectations or a strategic career shift. Further clarification on this alignment would be beneficial.
Soft Skills & Operational Fit
The candidate's experience as a Lead Data Scientist and Founder suggests strong leadership, initiative, and problem-solving skills. Their work on open-source projects and blogging indicates a proactive approach to knowledge sharing and community contribution. The diverse project portfolio, including entrepreneurial ventures, points to a candidate who is comfortable with ambiguity and driving projects from conception to deployment. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration cannot be fully provided.