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Rahul Misal

Staff Specialist Data Scientist

Pune, Maharashtra

rahulmisal27@gmail.com

About me

Being a Staff Specialist Data Scientist, I have 7 years of experience in Generative AI, Machine learning and data science. I enjoy solving large, complex data problems and also enjoy the process of building and determining a solution.

Skills

Data Science, Big Data, Generative AI

Manual/Automation Software Testing

Quantum Computing

Software/Web development

Robotics, IOT

Programming Languages

Python

Java

SQL

Certifications

• Applied Intelligence Program for Data Scientist from Datacamp(150+ hours of training containing many certificaions)
• Tosca Certifications(AS1,AS2, AE1,TDS1,TDS2)
• Python for data science
• Machine Learning with Python(IBM Cognitive Class)
• Google Analytics
• Hardware and Networking
• MSCIT

Databases known:

Snowflake

SQL

PostgresSQL

RDBMS

Mongo DB

Cloud services :

AWS

Azure

IBM Watson

Operating system:

Linux

Microsoft Windows OS

Hobbies

Learning new things/Technologies

Reading Books

Listening music

Languages

English

Hindi

Marathi

Extra Extra Carricular Activies

Leadership activities

Represented class for three years by successfully organizing many cultural and academic activities.

Sports activities

Participation in sports like karate, athletics at district level.

College Projects

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Electron theory in Metals

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Cosmos

And many other extra carricular activities


Links

Blogs

How Covid apocalypse unfolded in India?

I have been listening daily about the second Covid wave in India and experiencing the fear on people’s minds for this wave. The media is bombarding us with daily new high case count and there is a total negative sentiment all around us. All this thing left me thinking that is this second wave is really that bad? Is this media hype? or is this something we should worry about the most? To answer those questions, I thought, let’s look at the data and make the decision.

Work Exeperience

Staff Specialist Data Scientist / BMC Software
Oct 2024 - Current
  • Responsible for LLMOps for code assistant products.

  • Build and hosted LLM Toolbox utility for prompt engineering, testing and mlflow integration for tracing for the SME's.

  • Experimented with LLM fine-tuning for multiple code related use-cases.

    • Staff Data Scientist / Pattern
    May 2021 - Sept 2024
  • Responsible for deployment of multiple ML algorithms on AWS Sagemaker.

  • Build and deployed demand forecasting algorithm for thousands of products which improved inventory management and out of stock problems.

  • Build dashboards with demand forecast for multiple brands.

    • Data Scientist / Coditation Systems
    July 2019 - May 2021

    • Having good understanding of Statistical Analysis, Inference, Testing and many other statistical methods.

    • Having 3+ years of Hands on Experience on Numpy, Pandas, Matplolib, Seaborn, Scikit-learn and many other Machine Learning libraries.

    • Worked on Problems like Classification, Regression, dimensionality reduction , clustering and ensemble methods.

    • Having hands on experience on Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Network using Tensorflow and Keras deep learning libraries.

    • Having working experience on Big data tools like HDFS(Hadoop distributed file system), Apache Spark frameworks, Apache Zookeeper and Apache Hive.

    • Having good working experience on Natural language processing (NLP) problems and Used libraries like, NLTK and Spacy.

    • Applied Tableau, Orange for data preparation and visualization and Anaconda for ML algorithm implementation.

    • Having good working experience on Cloud solutions like AWS Sagemaker, Microsoft Azure ML Studio and IBM Watson.

    • Having basic understanding of Quantum Computing using Qiskit Aqua .

    Software Engineer New Associate / Accenture
    Feb 2018 - July 2019

    • 1 year of experience in delivering Client testing requirement by doing manual as well as automation testing using tools like HP ALM, UFT, Selenium, Cucumber, Apache Jmeter and Tosca.

    • Responsible for test planning, test preparation, test execution and test closure for many different projects.

    • Familiar with Software Development Lifecycle as well as Software Testing Lifecycle with its different methodologies.

    Education

    B.Sc. In Physics (Astrophysics)
    2014 - 2017

    Yashwantrao Chavan Institute of Science, Satara

    Projects List

    Agriculturedata Website

    This is Flask based data analytic website which is developed considering the problems in the Agriculture sector. It is deployed on domain Agriculturedata.in

    The website contains features like:

    • Agriculture Market price prediction

    • Plotting market prices data on India’s map for 20 years on day to day basis.

    • Visualizing the time series data of market prices.

    Churn/Acquisition Models:

    • Developed a predicting model for customer churn probability.

    • Ensemble methods based machine learning model implemented.

    • Also designed Artificial Neural Network based model.

    • Model Accuracy: 96%.

    Plant disease detection:

    • Developed a model for Classification of disease infected images into 38 categories.

    • Convolution neural network were used for the prediction.

    • Data set contains 42000 images with 38 different disease categories.

    • Model Accuracy: 99%.

    Pomegranate market price prediction:

    • Developed a model for Pomegranate market prices prediction for 439 markets all over the India.

    • Time series based models like SARIMA, ARIMA were implemented.

    • Recurrent Neural Network based models also developed.