Nikita Jain
@nikitajain2
Data Scientist and AI/ML Engineer building intelligent, automated solutions with LLMs, pipelines, and actionable insights.
What I'm looking for
I’m a Data Scientist and AI/ML Engineer focused on turning messy data and real workflows into reliable, automated systems. I combine strong fundamentals in Python and SQL with hands-on LLM development to ship end-to-end solutions.
Most recently, I designed an automated mail-to-case initiation system using Python, Docker, Postgres, and Kafka, achieving 80% automation of workflow processes. At Accenture, I contributed across AI/ML and GenAI areas—building APIs, optimizing pipelines, and supporting prompt engineering and LLM/NLP initiatives.
I also enjoy practical experimentation and training: I built an LLM-powered RAG chatbot with LlamaIndex and Rasa, and developed a structural crack detection model using VGG16. I’ve mentored students in ML, Python, Power BI, and Tableau, and I care deeply about quality through code reviews, testing, and measurable outcomes.
Experience
Work history, roles, and key accomplishments
AI Engineer
Greenfinch
Jun 2025 - Present (11 months)
Designed an automated mail-to-case initiation system using Python, Docker, Kafka, and PostgreSQL, achieving 80% automation of workflow processes. Built APIs to integrate third-party AI services and collaborated cross-functionally to deploy AI solutions into existing systems.
Associate Software Engineer
Accenture
Nov 2024 - Jun 2025 (7 months)
Developed AI-driven solutions using prompt engineering, NLP/LLM techniques, and RAG-style pipelines to improve resource management and automation. Built and optimized Azure data pipelines for Azure Data Services and supported data cleaning and visualization workflows.
Data Science Intern
WE RNS IT Solutions
Jan 2024 - Jun 2024 (5 months)
Built a customer support chatbot with Rasa to automate inquiry resolution end-to-end. Developed an LLM-powered RAG chatbot using LlamaIndex to improve user interaction quality.
Data Science Trainer
TIPSG
Jan 2024 - Jun 2024 (5 months)
Mentored students in ML, Python, Power BI, and Tableau, strengthening practical data analysis skills. Designed and delivered structured training programs for diverse participant groups.
Data Science Intern
B P Industries
Jun 2023 - Oct 2023 (4 months)
Developed a deep learning crack detection model using VGG16 and transfer learning to quantify structural crack severity. Implemented and validated the computer vision pipeline for industrial structural analysis.
Education
Degrees, certifications, and relevant coursework
Dr. K.N. Modi University
Bachelor of Science, Mathematics
Grade: GPA: 9.29
Ranked in the top 3 in university academic exams during the Bachelor's degree.
Emmanuel Sr. Sec. School
Higher Secondary Certificate (CBSE), General Education
Grade: 91.6%
Completed CBSE 12th (Higher Secondary) with 91.6% and was a merit holder.
Emmanuel Sr. Sec. School
Secondary School Certificate (CBSE), General Education
Grade: GPA: 10
Completed CBSE 10th (Secondary) with a GPA of 10 and was a merit holder.
Banasthali Vidyapeeth
Master of Science in Data Science, Data Science
2023 -
Grade: GPA: 8.51
Developed a deep learning crack detection model using VGG16 to quantify structural crack severity.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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