About
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Hello! I am Nachiket Dixit
I’m a Data Scientist, Machine Learning Engineer, and Analytics Mentor with hands-on experience in building machine learning solutions, scalable data workflows, and large language model (LLM)–powered systems.
My work focuses on transforming data into reliable, production-ready intelligence that enables informed decision-making and real-world business impact — not just theoretical models or isolated dashboards.
What I
Specialize In
Data Science & Advanced Analytics
Machine Learning Model Development
NLP and LLM-based Applications
Scalable Data & AI Systems
Analytics Mentorship & Training
How I work
As a Data Scientist, I approach every problem with a balance of technical rigor and practical relevance. From defining the problem statement to deploying models in real-world environments, I focus on solutions that are accurate, scalable, and maintainable over time.
Professional
Expertise
My core expertise spans the entire data science lifecycle, including:
01
Data acquisition, preprocessing, and exploratory data analysis (EDA)
02
Feature engineering and model development
03
Predictive analytics, classification, and regression systems
04
NLP pipelines and LLM-powered solutions
05
Model evaluation, optimization, and deployment
I’ve worked on complex analytical and AI-driven systems with a strong emphasis on scalability, accuracy, and long-term maintainability.
My work involved
AI & Model Fine
-Tuning Experience
I’ve worked as a freelance AI contributor with organizations such as Alignerr and Outlier, where I focused on Supervised Fine-Tuning (SFT) of machine learning and language models.
Evaluating and refining model outputs
Improving reasoning quality and response reliability
Resolving data inconsistencies and weak training signals
Optimizing model behavior under real-world constraints
This experience provided deep exposure to model alignment, evaluation frameworks, and large-scale AI system refinement.
Teaching
& Mentorship
As a Data Scientist, Alongside my technical work, I actively mentor students and working professionals in Data Science, Machine Learning, and Analytics.
Hands-on training sessions and live coding workshops
Industry-focused case studies
Complete project supervision — from data preprocessing and EDA to model deployment
My teaching philosophy prioritizes clarity of fundamentals, practical understanding, and industry-ready skill development using tools such as Python, SQL, Power BI, Tableau, and cloud-based platforms.
Interested in
working together?
Whether you’re looking for data scientist or analytics consulting, AI solutions, or hands-on mentorship,
I’d be happy to explore how we can create impact with data.