Shreyas Kulkarni Email and Phone Number
"All views expressed here are my own and do not represent the opinions or positions of my employer."Growing up, I would dismantle every toy/game/gadget at sight in an attempt to understand how and why they work the way they do and rebuild to full functionality, this way, I lost many, my broken toys were not enough to stop me, rather, I approached my next "experiment" with lessons from the failed ones. I would attribute my greatest wins to my extremely curious nature which enables me to understand what exists and opportunities to reinvent and recreate.I chose my career as an engineer, although I wasn't clear about the specific branch of engineering, but felt like there wasn't any other way that could be a natural fit for my personality. and the world in my head and reality had major differences, it somehow felt like a mismatch for me, in meanwhile my inclination towards technology gradually started taking shape even though I hadn't been exposed to it much until then.Finally, I enrolled in my first Python course, It was both intuitive and overwhelming, but little did I know, I had stumbled upon a gold mine, as I started to develop an understanding, I noticed the tremendous potential of working with data and the endless possibilities for experimentation and solution-building. It felt like discovering my natural calling, pursuing the world of Data and Artificial Intelligence.I'm not enthusiastic about marketing myself. so, here's quick things about me and my work- I have 3 years of experience working in data science, primarily with Python, machine learning, deep learning, and computer vision.- The greatest compliment I ever got at work was you manage your time and project priorities well, requiring minimal intervention from my end.- I have a dedicated blog on data science since 2021, where I share insights, learnings, and experiences, resulting in a total viewership of 15,000.- I served as a Technical Reviewer for BPB Publications' Pythonic AI book, which is now available to purchase.- I have a practical approach towards challenges, before looking into technical aspects I like to understand business aspects- I love to learn new things and grow my understanding, all while applying it in real-world business use cases.Please feel free to contact me here on LinkedIn or via email: shreyask.contact@gmail.com I read every single email trust me :)looking forward to an insightful conversation.
Tata Technologies
View- Website:
- tatatechnologies.com
- Employees:
- 16411
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Senior Solution Developer (Ai And Ml Engineer – Data Scientist)Tata TechnologiesMaharashtra, India -
Data ScientistIndium Software Jun 2024 - Present- Developed a dynamic data collection pipeline that consolidates information from four different sources, including tools like Zoho People and Zoho Recruit, Skill Builder alongside employee resumes.- Utilized OpenAI's GPT-4, Phi 3, and Llama 3 as Large Language Models (LLMs) to efficiently extract and analyze key data from employees' resumes.- Created an LLM Chain using LangChain to intelligently identify the Top 5 Skills and each employee’s Parent Skill.- Designed the pipeline to dynamically select the optimal sequence for data collection and consolidation, resulting in a centralized employee data hub stored in MongoDB.- Enabled HR teams to get real-time employee data based on specific criteria such as skills, experience, or location, leading to a streamlined employee search process. -
Junior Data ScientistIndium Software Nov 2021 - Jun 2024Remote- Built Image Classification model with CNN & Vision Transformer for template differentiation- Developed models using Detectron2 for predicting column lines in templates- Exposure to NLP-based use cases, including NER model development and context-based similarity vector embedding creation.- Established pipeline codebase for file parsing using Python & VS Code- Implemented code delivery process, reducing code review time- Created comprehensive test cases with pytest, which helps reduce regression.- Authored clear project documentation, reducing onboarding time by 40%.- Collaborated with internal & global client teams to address QA/regression/ Code review comments, enhancing client satisfaction.- Developed recommendation system highlighting functional demo.- Utilized content-based techniques like TfidfVectorizer and Word2Vec for vectorization.- Built end-to-end demo pipeline, and presented to global executives. -
Technical Book ReviewerBpb May 2023 - Oct 2023Contribution to improving the technical accuracy of the book's content.book is available for purchase in below link -
AssociateSplashgain Technology Solutions Pvt Ltd. Dec 2020 - Jul 2021- Developed Python scripts for data pre-processing and cleaning, customized for client use cases.- Streamlined data preparation for 60% of incoming client data, reducing overall preprocessing time by 70%.- Collaborated with domestic and international clients to identify recurring issues, and formulated SOPs for internal and client use.
Shreyas Kulkarni Education Details
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Data Science -
First Class -
First Class
Frequently Asked Questions about Shreyas Kulkarni
What company does Shreyas Kulkarni work for?
Shreyas Kulkarni works for Tata Technologies
What is Shreyas Kulkarni's role at the current company?
Shreyas Kulkarni's current role is Senior Solution Developer (AI and ML Engineer – Data Scientist).
What schools did Shreyas Kulkarni attend?
Shreyas Kulkarni attended Analytics Training Institute, Savitribai Phule Pune University, Government Polytechnic College.
Who are Shreyas Kulkarni's colleagues?
Shreyas Kulkarni's colleagues are Sameer Shaikh, Minwar Khan, Ajay Jawalkar, Akash Varma, Amol Didore, Shripad Mungi, Pankaj Hinge.
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Shreyas Kulkarni
Mumbai -
3gmail.com, zeomega.com, jpmorganchase.com
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Shreyas Kulkarni
Mumbai -
Shreyas Kulkarni
Senior Consultant At Primus Partners| Maharashtra Chief Minister Fellow 2023 | Public Policy |Pune
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