Summary
Overview
Work History
Education
Skills
Projects
Websites, Portfolios and Profiles
Certification
Languages
Positions Of Responsibilities
Hobbies and interests
Timeline
Generic
Ishant Jog

Ishant Jog

Pune

Summary

AI engineer with a robust background in statistics and data science. Skilled in utilizing data-driven insights for strategic decision-making. Strong programming capabilities in Python and R, complemented by practical experience in machine learning and statistical analysis. Prepared to contribute analytical expertise in a dynamic data science environment.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Quantitative Researcher

Optimum Data Analytics
Pune
08.2024 - 12.2025
  • Bridged the gap between technical and business teams while working on AI solutions
  • Developed mathematical and statistical strategies
  • A data analytics company focusing on providing AI-based solutions

Machine Learning Intern

Technocolabs Softwares
Pune
02.2024 - 05.2024
  • Developed a probabilistic model for company acquisitions
  • Achieved 86% accuracy using Logistic Regression
  • A software solutions company specializing in AI and machine learning

Education

M.Sc. - Applied Statistics & Data Science

Symbiosis International University
Pune
05.2024

B.Sc. - Physics

Mumbai University
Mumbai
05.2021

Skills

  • Python
  • Deep Learning
  • Machine Learning
  • Generative AI
  • Computer Vision
  • Quantitative analysis
  • Statistics & Data Analytics
  • SQL
  • Tableau
  • Microsoft Power BI
  • Microsoft Excel
  • Microsoft Suite
  • Data Mining
  • Time Series
  • Azure
  • Databricks
  • Pandas
  • Numpy
  • Scikit-Learn
  • Linear Regression
  • Pytorch
  • Tensorflow
  • keras
  • AWS
  • Azure ML
  • Langchain & LangGraph
  • GAN, BERT, Transformers
  • Vector Databases - Pinecone , Milvus
  • PEFT, LoRA
  • Agentic AI
  • Statistical modeling

Projects

  • Blood Glucose Detection (By NonInvasive Method) - A project focused on non-invasive methods for detecting blood glucose levels. Utilized PPG signals for non-invasive blood glucose detection. Implemented deep learning models (DenseNet121 and ResNet50) to extract relevant features.
  • Patient Data Matching (POC) - Matching patient data entries for accuracy to facilitate healthcare insights. Developed techniques utilizing various contextual embedding algorithms for data matching. Employed cosine-similarity calculations to achieve accurate data match.
  • Order Anomaly Detection - Detecting anomalies in orders to reduce false positives in supply chain mechanisms. Analyzed supply chain data to create time series models and regression models. Addressed issues in existing systems by reassessing thresholds and rules.
  • 2D To 3D Image Construction - An innovative approach to converting two-dimensional images into three-dimensional models. Converted 2D images to 3D constructs using Gaussian equations. Employed COLMAP application for processing and 3D reconstruction.
  • Music Meter Prediction (M.Sc. Final Year Project) - A music rhythm prediction algorithm to identify patterns in audio files. Developed a machine learning model to predict music rhythms with 79% accuracy. Utilized libraries including Pandas, Numpy, Sklearn, and Librosa for model training.

Websites, Portfolios and Profiles

https://www.linkedin.com/in/ishant-jog-66292223b/

Certification

  • Data Science Masters Certification [By PW Skills]
  • Microsoft Azure AI-900 Fundamentals Certification
  • Artificial Intelligence (A-Z)[By Udemy]
  • Python Certification By Maharashtra Knowledge Corporation (MKCL)
  • Python Certification (Udemy)
  • SQL & Relational Databases (By IBM)
  • Introduction To Cloud (By IBM)
  • Data Privacy Fundamentals (By IBM)
  • Data Science Certification (By Code With Harry)
  • Training & Finetuning For LLM Production (Active Loops) - Currently pursuing

Languages

Marathi
Advanced
C1
English
Upper Intermediate
B2
Hindi
Upper Intermediate
B2

Positions Of Responsibilities

  • Hiring Manager At Optimum Data Analytics (Aug 2024 to Dec 2025)
    Coducted almost upto 200-250 telephonic interviews to check technical maturity and overall communication of candidate.
    Developed a Linear Regression Model by learning weights by available data in company for screening CV's / resumes of candidates.
  • Cultural Committee Head At Symbiosis (Aug 2022 To May 2024)
    Conducted different events like samyukt (Diwali event at symbiosis), organized open-mic competitions for talent search. organized VIPLAV Annual event of symbiosis.
    Was actively involved with classmates and overall plannings of all the ongoing events. Additionally, started music community at symbiosis.

Hobbies and interests

  • Classically Trained Singer (5/7 Exams completed)
  • Keyboard & Harmonium Player
  • Tabla
  • Ukulele
  • Guitar (Currently Learning)

Timeline

Quantitative Researcher

Optimum Data Analytics
08.2024 - 12.2025

Machine Learning Intern

Technocolabs Softwares
02.2024 - 05.2024

M.Sc. - Applied Statistics & Data Science

Symbiosis International University

B.Sc. - Physics

Mumbai University
Ishant Jog