Sarfraz Ahmed

Data Scientist

https://talent.gravityer.com/sarfraz-ahmed

Decision Scientist

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through multiple personal projects (ML_Google, Machine_Learning_FastAI, Machine_Learning, Deep_Learning).
Proficiency in Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with algorithmic trading platform development (APT) indicates an interest in applying data science to financial domains.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards self-learning and exploration in Machine Learning and Deep Learning, which aligns with a proactive and curious cultural fit. However, the projects are predominantly personal and academic, lacking evidence of collaborative team environments or real-world business impact. The diversity of projects (web development, Android app, sentiment analysis) indicates a broad interest but also a potential lack of focused depth in data science specific applications beyond learning exercises. The absence of professional experience or team-based projects makes it difficult to fully assess cultural fit for a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

APT

July 11, 2019 – May 22, 2023

Algorithmic Platform for Trading

View Project

proSR

December 12, 2018 – December 21, 2018

proSR — GitHub repository

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ML_Google

October 21, 2018 – December 3, 2018

Contains notebooks from Google Machine Learning Course

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Machine_Learning_FastAI

September 23, 2018 – October 7, 2018

Contains machine learning models that I will be building in the FastAI ML course

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Angular_App

September 15, 2018 – October 3, 2018

Contains application created using Angular framework

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Machine_Learning

September 12, 2018 – September 14, 2018

This repository contains machine learning solutions in the form of jupyter notebooks to the problems which I will be solving on my Machine Learning journey.

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Deep_Learning

August 15, 2018 – September 14, 2018

This repository contains deep learning solutions in the form of jupyter notebooks to the problems which I will be solving on my Deep Learning journey.

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Twittelyzer

July 18, 2017 – July 18, 2017

Twitter Sentiment Analysis

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BIT_ISE

May 21, 2017 – August 22, 2018

Android App for the Department of Information Science and Engineering, Bangalore Institute of Technology

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sarfrazahmed.github.io

February 1, 2017 – May 30, 2017

My personal website

View Project

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through multiple personal projects (ML_Google, Machine_Learning_FastAI, Machine_Learning, Deep_Learning).
Proficiency in Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with algorithmic trading platform development (APT) indicates an interest in applying data science to financial domains.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Sarfraz Ahmed

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit