Tanveer Khan

Data Scientist

https://talent.gravityer.com/tanveer-khan-1

Data Scientist | Research Fellow

NextGen Invent Pvt. Ltd.

Key Strengths

Strong foundational knowledge in various data science domains, including time-series analysis, deep learning, and NLP.
Extensive practical experience with Python for data science projects.
Demonstrated ability to implement complex algorithms from scratch (e.g., C5.0 decision tree).
Experience with bio-metric authentication using EEG data, showcasing specialized application of machine learning.
Exposure to mobile deployment of ML models (TensorFlow Lite Swift, iOS app for object detection).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing heavily on research and implementation. While demonstrating strong technical curiosity and initiative, there is limited evidence of collaborative team projects or experience in diverse industry settings. The current role as 'Data Scientist' at NextGen Invent Pvt. Ltd. is listed with a future start date, making it difficult to assess current professional cultural fit. The breadth of skills is good within the data science domain, but the project diversity leans heavily towards specific research areas (EEG, time-series).

Soft Skills & Operational Fit

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

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Projects

Google-Maps-2CSV

July 27, 2024 – July 27, 2024

Google-Maps-2CSV — GitHub repository

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EEG-biometric-authentication

March 16, 2024 – March 16, 2024

Electroencephalography (EEG) based Bio-metric authentication using Deep Learning techniques

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TensorFlowLiteSwift

April 11, 2023 – April 11, 2023

TensorFlow Lite Swift package for iOS/iPad devices

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iOS-App-Object-Detection

November 7, 2022 – November 7, 2022

iOS app build for object detection

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LSTM-VAR-for-Multivariate-Time-Series-Forecasting

June 30, 2022 – July 1, 2022

Long short term memory (LSTM) and Variational-autoencoder (VAR) combined for Multivariate Time Series Forecasting

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Time-Series-Feature-Extraction-ECG

April 30, 2022 – April 30, 2022

Frequency domain (Fast Fourier Transform) and time-frequency (wavelet transform) feature extraction from Electrocardiogram (ECG) data.

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NLP-based-Text-Retrieval

December 7, 2021 – December 7, 2021

Natural Language Processing Based Text Retrieval System in Python

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STEW-EEG-subject-identification

July 13, 2021 – July 13, 2021

STEW-SI is a lightweight artificial neural network based subject’s identification framework implemented in Python with categorical feature support.

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C5.0-in-Python

July 8, 2021 – July 8, 2021

C5.0 decision tree algorithm implementation in python

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WebApp-for-clothing-prediction

January 6, 2021 – January 6, 2021

WebApp for clothing prediction

View Project

Key Strengths

Strong foundational knowledge in various data science domains, including time-series analysis, deep learning, and NLP.
Extensive practical experience with Python for data science projects.
Demonstrated ability to implement complex algorithms from scratch (e.g., C5.0 decision tree).
Experience with bio-metric authentication using EEG data, showcasing specialized application of machine learning.
Exposure to mobile deployment of ML models (TensorFlow Lite Swift, iOS app for object detection).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Tanveer Khan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit