Pratibha Naik

Associate Consultant

Gurugram, Haryana, India1 yr 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Improved data accuracy by 20% at S&P Global.
Automated 60% of support inflow at Uber.
Developed a movie recommendation system using ML.

Stackforce AI infers this person is a Data Analytics Specialist with expertise in Fintech and Transportation sectors.

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Skills

Core Skills

Data AnalysisFinancial ModellingAutomationData MigrationMachine Learning

Other Skills

PythonSQLExcelData ValidationJavaScriptAzure Cosmos DBASP.NETStreamlitFinancial ModelingPerformance AnalysisBusiness AnalysisData ScienceIntroductory Cloud EssentialsIntroductory AutomationAI and ML

About

I turn messy datasets into decisions that move the needle. At S&P Global, I've improved data accuracy by 20% and cut turnaround time by 15%. At Uber, I automated 60% of support inflow. I'm an IIT BHU engineer who thinks in systems and speaks in insights.

Experience

1 yr 6 mos

Total Experience

9 mos

Average Tenure

8 mos

Current Experience

S&p global

Specialist, Consulting

Sep 2025 – Present · 8 mos · Gurugram, Haryana, India · Hybrid

Worked on financial modelling and data validation projects, improving data accuracy by ~20% and ensuring reliability of analytical outputs for consulting engagements.
Contributed to 5+ modelling and validation projects, supporting end-to-end development and review of business and financial models across multiple use cases.
Assisted in resolving 20+ queries related to previously executed deals, reducing turnaround time and improving team efficiency by ~15%.
Played a key role in the migration of Compliance Legacy systems to a Python-based Insights platform, helping streamline workflows and improve data processing efficiency by ~25%.
Utilized Python, SQL, and Excel to analyze datasets of 10K+ records, build models, and validate outputs for business-critical decisions.
Collaborated with cross-functional teams (5+ stakeholders) to gather requirements, clarify queries, and deliver accurate data-driven insights.
Applied strong analytical thinking and problem-solving skills to identify inconsistencies, reducing data errors and improving model reliability.
Maintained 100% on-time delivery by tracking tasks via Jira and ensuring clear communication through regular status updates.

PythonSQLExcelData ValidationFinancial ModellingData Analysis

Uber

Data Analytics Specialist II

May 2024 – Mar 2025 · 10 mos · Hyderabad, Telangana, India · On-site

Updated Uber Picasso platform policies using JavaScript, improving trip completion accuracy by 60%, flow accuracy by 80%, and reducing resolution times.
Automated 60% of Uber's support inflow rate by optimizing workload distribution between automation and agents.
Analyzed rider-driver mismatch data to identify key operational issues and provided actionable insights for process improvements.
Used Picasso to update workflows, enhance operations, and drive improvements in internal processes
Monitored real-time data with Uber uMonitor, identifying anomalies and creating dashboards for business insights.
Optimized SQL queries for large datasets and automated data processing with JavaScript, improving speed, accuracy, and decision-making.
Collaborated with stakeholders to refine data pipelines and reporting in Lucid App for effective data integration across platforms.
Built complex queries with Query Builder to support cross-functional teams in data extraction and visualization.
Conducted data analysis to design policies based on improving merchant-driver partner interactions and service quality.
Evaluated user acceptance patterns for restaurant replacement offers to contribute to improved customer satisfaction.

JavaScriptSQLData AnalysisAutomation

Microsoft

2 roles

Software Engineering Intern (Data Migration & Analytics)

May 2023 – Jul 2023 · 2 mos · Hyderabad, Telangana, India · On-site

Migration of rating data to LA :
Spearheaded the development of a bespoke service dedicated to extracting rating data from RNR (Ratings and Reviews) platforms, ensuring both data integrity and operational efficiency.
Coordinated the seamless migration of over 15,000 diverse extensions to Log Analytics utilizing team repository APIs, strategically prioritizing integration tasks to minimize disruptions and optimize data utilization for uninterrupted operations.
Enhanced the accuracy of revocation processes by contributing to repository development using ASP.NET and C-
sharp, while meticulously documenting procedures for future reference.
Synthesized rating data in Log Analytics, enriching dataset for researchers’ deeper insights and informed decisions.

Azure Cosmos DBASP.NETData Migration

Software Engineering Mentee - Machine Learning

Apr 2022 – Jun 2022 · 2 mos · Uttar Pradesh, India · Remote

Movie Recommendation System :
Developed a Movie Recommendation System leveraging machine learning techniques to predict the 5 most similar movies based on user preferences, encompassing end-to-end data integration, model training, and testing.
Utilized text-vectorization techniques for feature processing and created a user-friendly interface with the Streamlit library.

Machine LearningStreamlit