Siddharth Saklecha

Data Scientist

https://talent.gravityer.com/siddharth-saklecha

Pursuing masters in computer science from IIIT Hyderabad. Interests in ML, AI fields.

Hyderabad, Telangana, India

Key Strengths

Demonstrated interest in Data Science through projects like 'Gender-Detection-From-Facial-Features', 'Dimensionality-Reduction-and-Clustering-techniques', and 'Handwritten-Digit-Recognizer'.
Experience with various machine learning algorithms (Eigenfaces, K-means, PCA, SVM, Naïve Bayes, Neural Networks).
Proficiency in Python, Java, C++, and Matlab for implementing data science and general programming tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards individual technical challenges and academic implementations. The diversity of projects across different programming languages (Python, Java, C++, Matlab) indicates adaptability. However, the lack of team projects or professional experience makes it difficult to assess collaboration or cultural alignment within a corporate setting. The projects are primarily personal and academic, which may require a transition to more collaborative and production-oriented environments.

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

test

February 3, 2021 – February 3, 2021

test

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LRUCache

October 6, 2019 – October 11, 2019

Basic Implementation of LRU Cache in C++

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Cafeteria

February 4, 2017 – June 10, 2021

The project is about creating a website as a solution to online food ordering system. The architecture of this software is designed considering modularity such that each part of this software provides an API interface which will be easily portable across different platforms and reusable for generic websites.

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Wikipedia-search-engine

November 14, 2016 – November 22, 2016

Wikipedia-search-engine — GitHub repository

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Navie-Bayes-Classifier

November 4, 2016 – November 21, 2016

implement the Naïve Bayes (NB) classifier

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Dimensionality-Reduction-and-Clustering-techniques

November 4, 2016 – November 21, 2016

Implemented Dimensionality Reduction (PCA,LDA) and Clustering techniques (K-means)

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Handwritten-Digit-Recognizer

November 4, 2016 – November 21, 2016

A complete handwritten digit recognizer using multilayer feedforward neural network classifier

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Multilevel-FeedBack-Queue-in-C-

April 13, 2016 – April 13, 2016

Implementing Multilevel FeedBack Queue in C++

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Mini-Sql-Engine

April 13, 2016 – April 13, 2016

A Sql Engine in java for running set of queries

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Gender-Detection-From-Facial-Features

April 12, 2016 – December 14, 2016

Gender Detection From Facial Features using various methods like Eigenfaces,K-means,PCA then SVM

View Project

Key Strengths

Demonstrated interest in Data Science through projects like 'Gender-Detection-From-Facial-Features', 'Dimensionality-Reduction-and-Clustering-techniques', and 'Handwritten-Digit-Recognizer'.
Experience with various machine learning algorithms (Eigenfaces, K-means, PCA, SVM, Naïve Bayes, Neural Networks).
Proficiency in Python, Java, C++, and Matlab for implementing data science and general programming tasks.

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.

Siddharth Saklecha

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit