Paridhi Mittal

AI Researcher

Dehradun, Uttarakhand, India5 yrs 5 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in AI and Machine Learning technologies.
Led initiatives to enhance model performance and efficiency.
Strong analytical and problem-solving capabilities.

Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning technologies.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine Learning (ml)Data ScienceMachine Learning

Other Skills

AI agentsAdvanced sqlAnalytical SkillsAnalytical SolutionsAnalyticsAngular MaterialArtificial Neural NetworksBusiness RequirementsCause & EffectClient CommunicationCloud ComputingCoding ExperienceCoding model flow statesCommunicationComputer Science

About

Currently working on Agentic AI, Large Language Models (LLMs), fine-tuning, and Generative AI, I am a certified Data Scientist passionate about building intelligent, adaptive systems that deliver real-world value. With a background in Computer Science and a Master’s in Data Science(AI & ML)underway, I bring strong analytical capabilities and hands-on experience in developing data-driven solutions. My core skills include Python, SQL, Machine Learning (ML), Artificial Intelligence (AI), and Natural Language Processing (NLP), along with proficiency in libraries such as Pandas, NumPy, Scikit-learn, Seaborn, and Matplotlib. I’m a fast learner, effective communicator, and thrive in collaborative environments, leading teams and working with diverse global groups to drive innovation. Always eager to explore emerging technologies, I aim to contribute to impactful, AI-powered innovation.

Experience

5 yrs 5 mos

Total Experience

3 yrs 5 mos

Average Tenure

2 yrs

Current Experience

Turing

2 roles

Lead Data Scientist

Promoted

Jun 2025 – Present · 1 yr · Palo Alto, California, United States

As Lead Data Scientist, I spearheaded the Generalized Agents initiative after the ICE one, guiding and helping team to evaluate AI agents across diverse APIs and tasks, from single-turn to complex multi-turn workflows. With a sharp eye for observation, I oversaw quality control of large language models during supervised fine-tuning and reinforcement learning with human feedback, ensuring reliability and consistency in evaluation pipelines. Beyond execution, I focused on providing strategic direction and problem-solving frameworks, enabling the team to address challenges effectively, optimize workflows, and scale solutions that enhanced both efficiency and model performance.

Large Language Models (LLM)Reinforcement LearningQuality ControlStrategic DirectionProblem-SolvingArtificial Intelligence (AI)+1

Data Scientist

Jun 2024 – Sep 2025 · 1 yr 3 mos · Palo Alto, California, United States

Actively engaged in the advanced field of large language model (LLM) and generative AI, with a focus on sophisticated fine-tuning and reinforcement learning techniques. Working on a top-notch cutting-edge LLM model (can’t disclose the name) to push the boundaries of what these technologies can achieve, focusing on optimizing performance and capabilities. My responsibilities include developing innovative methods to enhance model accuracy, efficiency, and adaptability. Additionally, I am involved in the intricate tasks of coding model flow states and model stars, contributing to the forefront of AI technology advancement.

Large Language Models (LLM)Generative AIFine-tuningReinforcement LearningPerformance OptimizationArtificial Intelligence (AI)+1

Skillovilla

Data Scientist Intern

Feb 2023 – Jan 2024 · 11 mos · Remote

Worked on 4+ capstone projects on Python, Statistical Analysis (descriptive and
inferential), Visualisations, SQL, Machine Learning-Regression and Classification models like Covid data
analysis, Heart disease detection, Drink enhancer campaign, Player performance and currently working on ML projects like Prediction of Insurance price etc. Also implemented neural network models. Twitter data analysis.
Face glass detection using CNN.
Identifying, collecting, tracking and resolving data issues by doing exploratory data analysis and prediction using various ML models by using hyperparameter tuning and evaluation metrics(precision, recall, accuracy etc)
Converted data into actionable insights by predicting and modelling future outcome.

PythonStatistical AnalysisMachine LearningData VisualizationData Science

Cognizant

3 roles

Associate

Promoted

Oct 2022 – Mar 2024 · 1 yr 5 mos · India

Worked on analysis and technicality of different Selling and Partner systems.
Used Python : Numpy and Pandas for data analysis.
Spearheaded the initiative to learn existing applications by delving into code reviews, proposing modelling suggestions, process improvement and software development leading to a 30% increase in data analysis efficiency and a 15% enhancement in decision-making accuracy.
Analysed more than 100+ queries, finding its root cause and solving it.
Familiar and worked in Google Spanner db query execution for data modelling.
Writing and optimizing queries working with SQL and Oracle db.
JIRA board maintenance.
Order creation flow functionality.
Return order flow creation.
Run the daily calls / scrum meetings with respect to deliverables and build the weekly status reports to be reviewed with team.
Develop an overall plan, infra setup & scenarios allocation.
Mainframe testing, job setups and job runs were also initiated.
Took initiative to learn existing applications through reviewing code and analyzing data.
Worked closely with the Software development and QA team.
Towards end of the release, did validation & sign-off.
High motivated with strong organizational, analytical, and problem-solving skills.
Monitor project deadlines and milestones.
Plan, direct, and coordinate activities for the team like creating fun-quizzes for Friday.
Reporting and Documentation.
Strong interpersonal (verbal and written communications) skills.