Neha Duggirala

Data Scientist

https://talent.gravityer.com/neha-duggirala

Sberbank

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (Naive-Bayes, Customer-Support-Classification-using-LLM, Poetry-Generation, Day-Night-Classification).
Experience with Jupyter Notebook for data science workflows.
Exposure to various ML concepts including NLP and computer vision (Virtual-Yoga-Instructor, Image-Variations).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects, from ML to web development, suggests a broad interest, which could be beneficial for cross-functional collaboration. However, the lack of detailed descriptions for most projects makes it difficult to fully assess the depth of engagement and problem-solving approaches. The current role as 'Data Scientist' at Sberbank aligns with the target role, but without further details on responsibilities, it's hard to gauge the exact fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Customer-Support-Classification-using-LLM

March 20, 2025 – April 23, 2025

Customer-Support-Classification-using-LLM — repository

View Project

EYBadge-Metrics-UI

August 28, 2020 – February 26, 2021

https://neha-duggirala.github.io/EYBadge-Metrics-UI/

View Project

Poetry-Generation

June 13, 2020 – June 16, 2020

Using NLP

View Project

Virtual-Yoga-Instructor

April 8, 2020 – July 30, 2020

A virtual yoga instructor uses PoseNet which is a machine learning model that allows for Real-time Human Pose Estimation and overlay a skeleton stick figure on top. Visit the Website for more info

View Project

Day-Night-Classification

September 8, 2019 – September 8, 2019

Day-Night-Classification — repository

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Internship

April 27, 2019 – June 6, 2019

Interned with Segmind, a company focusing on the creation of data processing pipelines quickly.

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Image-Variations

January 22, 2019 – January 23, 2019

This shows the nine variations of an image

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Naive-Bayes

November 29, 2018 – November 29, 2018

Naive-Bayes — repository

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Art-Gallery-Management

November 25, 2018 – November 2, 2020

This is a simple DBMS project which allows the users to view the art and to fill in the customer forms

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100DaysOfMLCode

July 7, 2018 – May 18, 2021

100 days of ML code challenge

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (Naive-Bayes, Customer-Support-Classification-using-LLM, Poetry-Generation, Day-Night-Classification).
Experience with Jupyter Notebook for data science workflows.
Exposure to various ML concepts including NLP and computer vision (Virtual-Yoga-Instructor, Image-Variations).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Neha Duggirala

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit