Ayush Sinha

Data Scientist

Bengaluru, Karnataka, India6 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Machine Learning and Data Science.
Proven track record in predictive modeling and AI solutions.
Strong leadership experience in managing diverse teams.

Stackforce AI infers this person is a Data Science professional with expertise in Machine Learning and AI solutions.

Contact

Skills

Core Skills

Data ScienceMachine LearningLeadershipManagement

Other Skills

Scikit-LearnLarge Language Models (LLM)Python (Programming Language)Django REST FrameworkMicrosoft Azure Machine LearningTensorFlowLong Short-term Memory (LSTM)XGBoostRandom ForestISOMAPPublic SpeakingEvent ManagementConvolutional Neural Networks (CNN)Recurrent Neural Networks (RNN)Statistics

About

Currently working as a Data Scientist at Zepto. Graduated with a master's degree in Mathematics and Computing from IIT Kharagpur in 2021.

Experience

6 yrs 5 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr 7 mos

Current Experience

Zepto

Data Scientist-II

Oct 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Anakin (yc s21)

Machine Learning Engineer

Feb 2024 – Oct 2024 · 8 mos · Bengaluru, Karnataka, India · On-site

Amplus solar

3 roles

Senior Associate

Promoted

Oct 2023 – Jan 2024 · 3 mos

Currently working on building scoring models using classification algorithms for leads to identify potential customers and chatbot powered by generative AI.

Scikit-LearnLarge Language Models (LLM)Data ScienceMachine Learning

Associate

Jul 2021 – Sep 2023 · 2 yrs 2 mos

Built time-series forecasting models to predict solar generation, and predictive models to identify faults in inverters/solar modules.

Python (Programming Language)Django REST FrameworkMachine LearningMicrosoft Azure Machine LearningTensorFlowData Science

Data Science Intern

May 2020 – Jul 2020 · 2 mos · Gurgaon, Haryana

· Applied an LSTM model to forecast metal spot prices, helping the company take strategic decisions on forward contracts
· Developed an XGBoost Regression Model to forecast 30-day ahead Solar Generation that helped with monthly schedule preparation

Long Short-term Memory (LSTM)XGBoostMachine LearningData Science

Smart c&s

Summer Intern

May 2019 – Jul 2019 · 2 mos · Daejeon, South Korea

· Engineered an end-to-end solution to predict electric pole breakage using ISOMAP to identify relevant input parameters.
· Built a Random Forest classification model using Tensorflow to predict breakage obtaining an accuracy close to 85%.

Random ForestISOMAPMachine LearningData Science

Datametica solutions private limited

Intern

Dec 2018 – Jan 2019 · 1 mo · Pune, Maharashtra

Developed a handwriting recognition model utilizing Convolutional Neural Networks (CNN) for word segmentation, aimed at recognizing handwritten text from photos

Convolutional Neural Networks (CNN)Python (Programming Language)Machine LearningData Science

International relations cell, iit kharagpur

2 roles

Coordinator

Promoted

Apr 2018 – Apr 2019 · 1 yr

· Coordinated a team of 25 student members who assisted International Students with their day-to-day at IIT Kharagpur and our students with programs like Semester Exchange, Foreign Training.
· Secured over 71 projects from 57 universities like Cornell and Warwick through the Foreign Training Portal with a funding of over INR 10.2 million.

LeadershipManagement

Student Member

Aug 2017 – Apr 2018 · 8 mos

· Organized seminar on Semester Exchange Program, MS-PhD panel discussion, with an attendance of over 5000 students.
· Worked on assisting international students at IIT Kharagpur with their day-to-day lives.

Public SpeakingEvent Management