Hi, I am Ashish

I am a Dat|

Ashish Gore

Sr. Data Scientist at bluCognition

With over 8 years of experience, I am a passionate Data Science Enthusiast who specializes in building Machine Learning Models for bluCognition. My skill set includes Data Extraction, Web Scraping, Data Cleaning, Exploratory Data Analysis, Model Building, API Development, Research & Development, LLM Model Development and Deployment. I have a strong technical background as an Engineer and hold 3 post-graduate degrees from Pune's top-ranked colleges. Additionally, I have previous experience working on similar projects and was formerly employed by Flipkart India Pvt Ltd.

I have over 300 hours of Consultation & Counselling experience and 200+ hours of Technical Interviewing/Recruitment experience.

Leadership
Team Work
Communication
Hard Working
Fast Learner
Problem Solving

Skills

Python
Python

Used Python for writing codes in various Projects. Capable of writing optimized machine learning Codes, using various libraries.
R language
R

Having Good Knowledge of Building Machine Learning Models Using R Programming. Worked on various data science case studies using R.
Cloud Computing
Cloud Computing

Experienced in deploying and managing Machine Learning models on AWS, Azure, and GCP. Worked with cloud services like EC2, S3, Azure ML, and GCP Vertex AI for scalable AI/ML solutions.
Tableau
Tableau

Built few of the fully Interactive visualisation from project's dataset. Having Good skills to perform EDA operations to find Hidden Insights.
SQL
SQL

Capable of writing queries to retrieve tables from databases and other SQL operations.
Excel
Excel

Worked on Advanced Excel concepts to Manipulate data. Generated reports based on the Requirements.

HTML
HTML & CSS

Designed Some of the templates Based on HTML, CSS and Bootstrap, while working on front end phase of Projects.

C++
PySpark

Have Knowledge to work on apache spark's python Module. Practiced some use cases using PySpark.

LLMs
Large Language Models (LLMs)

Experience with GPT, LLaMA, and Mistral models for tasks like text generation, summarization, and classification.
LangChain
LangChain

Built LLM-powered applications using LangChain for RAG pipelines, agents, and knowledge integration.
LangGraph
LangGraph

Developed multi-agent workflows and complex LLM applications using LangGraph's graph-based orchestration.
RAG
Retrieval-Augmented Generation (RAG)

Implemented RAG pipelines by combining LLMs with vector databases for accurate and context-aware responses.
Vector Databases
Vector Databases

Worked with Pinecone, FAISS, and Weaviate for semantic search, embeddings storage, and similarity retrieval.
LoRA and QLoRA
LoRA & QLoRA

Hands-on with parameter-efficient fine-tuning using LoRA and QLoRA to adapt large models on limited compute.
AI Agents
AI Agents & Tools

Experience in building autonomous AI agents with function calling, tool integration, and multi-agent systems.
Embeddings
Embeddings

Worked with embeddings for semantic search, clustering, and context-aware applications using vector databases.
MLOps for LLMs
MLOps for LLMs

Implemented pipelines for training, evaluation, and deployment of LLMs with MLflow, Docker, and CI/CD workflows.

Experiences

6
bluCognition
Lead Data Scientist

September 2024 - Present, Vimannagar Pune

bluCognition is one of the well known FinTech firm providing AI Solutions to their clients based in Pune. And operating in the Domain of Machine Learning, Deep Learning, Artificial Intelligence, and Big Data.

Responsibilities:
  • Managing bluCognition's flagship products - bluSense and FraudLens.
  • Leading and Mentoring the Automation and R&D teams.
  • Spearheading the integration of Retrieval-Augmented Generation (RAG) into existing solutions to improve decision accuracy and explainability.
  • Exploring and deploying agentic AI systems for adaptive automation, enabling products to handle complex workflows and dynamic user needs with minimal intervention.
  • Driving R&D to enhance product innovation and efficiency.
  • Collaboration with stakeholders to align technical and business goals.

Senior Data Scientist

January 2022 - September 2024, Vimannagar Pune

Responsibilities:
  • Led multiple Python-based projects
  • Led a team of ML Engineers
  • Majorly involved in Research and Development
  • Built logic for pipeline design of project modules

Data Scientist

December 2020 - January 2022, Vimannagar Pune

Responsibilities:
  • Built Machine learning Model
  • Built API's for Machine learning Models
  • Built Application Modules of Python based project During new product Development
  • Data Extraction from Various file sources Like pdf, text or other file formats
  • Scraping data from online sources on HTML or XML webpages
  • Extracting data from various data sources like PDF or image files using OCR(Optical Character Recognition) Technique
AIMagic Technologies LLP
Co-Founder

June 2020 - Present, Pimpari-Chinchwad, Pune

AIMagic Technologies LLP is built for the Purpose of providing Software Development and Data science services to the clients. Served National as well as International clients till date.

Projects Delivered:
  • Face Mask Detection MobileNetv2 -ComputerVision
  • Object Detection using OpenCV -Computer Vision
  • Chatbot Development Using DialogFlow
  • Multivariate Forecasting Using LSTM
  • Text Processing using Feature Hashing and tSNE Algorithm.
  • Also Built few websites using HTML and CSS.
5
4
IntelliNature Private Limited
External Consultant - Data Science

February 2021 - August 2021, Dehradun, India (6 Months)

IntelliNature provide meaningful insights to data and help clients make data science a competitive advantage.

Responsibilities:
  • Provided Consultation to a Team of ML Engineers along project life cycle
  • Conducted Technical sessions
  • Participated in brainstorming sessions for implementing new product Features and Ideas
  • Conducted training sessions for Python, R, Tableau etc
  • Consulted ML Team for Bug Fixing and Other Technical difficulties
Innodatatics Inc.
Data Science Trainee

January 2020 - December 2020, Bangalore (1 Year)

Innodatatics Inc. is a widely recognized company for Artificial solution providing firm. Operating At The Cutting Edge Of Technology.

Responsibilities:
  • Worked on tools Python and R for Data analysis
  • Worked on Various Python Libraries Including NumPy, MatplotLib, Pandas, Seaborn, Scikit-Learn, NLTK and many Other
  • Built Machine learning Models
  • Worked on Live Projects
  • Having Experience Deploying model on AWS and other Platforms
3
2
Flipkart India Private Limited
In Charge I

July 2018 - August 2019, Navi Mumbai, Panvel (1 Year)

Flipkart is an Indian e-commerce company based in Bangalore, Karnataka, India.

Responsibilities:
  • Worked on Tableau, Python, Excel on huge datasets
  • Worked on PostgreSQL to retrieve tables from Databases
  • Report Generation on Daily, Weekly and Monthly Basis
  • Reports like RCA, CPD, Functional Breach, Mis-sort Reports of Hub
ETH Pvt Ltd
Project Engineer

July 2015 - January 2016, Baner, Pune (6 Months)

Founded in 1998, under the guidance and mentorship of Dr. Vijay Bhatkar, ETH has played a pioneering role in rolling out the concept of Computer Literacy.

Responsibilities:
  • Visiting client sites to solve their issues.
  • Solving Database related Issues.
  • Making connection available to backend team and client to solve problems.
1

Projects

Fintech
bluSense - Bank Statement Analytics
Lead Data Scientist 2021 - Present

Automated platform to extract and analyze unstructured bank statements. Includes transaction categorization, template detection (YOLO), entity recognition, and credit risk modeling.

FraudLens
FraudLens - Document Fraud Detection
Lead Data Scientist 2021 - Present

Built fraud detection indicators and “X-ray Vision” to recover manipulated PDFs. Designed 8+ fraud signals to identify anomalies in documents and transactions.

LLM
Generative AI / LLM Finetuning
Lead Data Scientist 2023 - Present

Worked on finetuning LLMs with LoRA/QLoRA for domain-specific tasks including summarization, classification, and information extraction.

RAG
Retrieval-Augmented Generation (RAG) Solutions
Lead Data Scientist 2023 - Present

Implemented RAG pipelines using vector databases for up-to-date and business-specific information retrieval integrated with LLMs.

Image Dehazing
Enhanced Lymph Node Cancer Detection via Ensemble ML & Feature Fusion
Academic ProjectIJISAE

Co-authored with Sudeep D. Thepade and Rachana Y. Patil, this study proposes a novel feature fusion technique combining Thepade SBTC and color binning with ensemble learning (KNN, Random Forest, CatBoost).

Driver Drowsiness Detection
Enhanced Driver Drowsiness Detection
Academic ProjectICDSNS 2024

Implemented multimodal feature extraction and transfer learning for real-time driver drowsiness detection. Used NTHU & UTA-RLDD datasets with EAR, MAR, FAR features and deep models (MobileNetV2, ResNet50).

Python Project Logo
Face Mask Detection MobileNetV2 - Computer Vision
Developer Nov 2020 - Dec 2020

Developed a Computer Vision model to detect whether a person is wearing a face mask using MobileNetV2.

Python Project Logo
Chatbot Development Using DialogFlow
Developer Oct 2020 - Nov 2020

Built an interactive chatbot using Google Dialogflow to automate responses and handle user queries efficiently.

Python Project Logo
Object Detection using OpenCV - Computer Vision
Developer Sept 2020 - Oct 2020

Implemented face, eye, car, and pedestrian detection in images using OpenCV’s pre-trained Haar Cascade and HOG models.

Python Project Logo
Impact Prediction Project
Developer July 2020 - Sept 2020

Developed a machine learning solution to predict the business impact of customer-reported incidents, leveraging AWS services for model training and deployment.

NLP Project Logo
NLP QA Retrieval System
Developer Jan 2020 - May 2020

Developed an NLP-based system to retrieve the top 5 question–answer pairs for a given keyword. The solution was implemented for an e-commerce company to enhance customer query resolution.

Web Scraping Project Logo
Web Scraping Job Market Analysis
Personal 2020

Conducted web scraping using Selenium to extract 1,000 recent Data Scientist job postings from Naukri.com. Performed analysis to identify current job market trends and skill demand in Data Science.

Details
LSTM Forecasting Project
Multivariate Forecasting with LSTM
Developer 2020

Developed an LSTM-based multivariate forecasting model to predict top menu items and quantities for lunch and dinner in a restaurant setting.

R Language Logo
Data Science Case Studies in R
Owner Aug 2019 - Dec 2019

Implemented multiple data science case studies using various statistical and machine learning algorithms in R.

Achievements

Best Performer

Champion

Graduation

Award Winner

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