Rohit Krishnia

Consultant

Gurugram, Haryana, India3 yrs 9 mos experience

Key Highlights

Expert in AI-driven digital twin technology.
Proven track record in commercial due diligence.
Strong background in data science and strategy.

Stackforce AI infers this person is a Data Science and Strategy Consultant with expertise in AI-driven solutions for manufacturing and telecommunications.

Contact

Skills

Core Skills

Commercial Due DiligenceMarket AnalysisCost EstimationLogistics ManagementData ScienceProduct DevelopmentQuality Management

Other Skills

Market segmentation analysisPrimary and secondary researchLogistics cost estimationZero-based costing toolNeural networksDigital twin technologyWeb application developmentData integrationFlaskMicrosoft Azure Machine LearningAzure Data LakeAzure DevOps ServerStreamlitAPI DevelopmentPython (Programming Language)

About

Strategy consultant with buy-side due diligence experience and a background in building AI driven digital twins as a data scientist. I enjoy working with data and strategy to drive better decisions

Experience

3 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

1 yr

Current Experience

Ey-parthenon

2 roles

Consultant

May 2025 – Present · 1 yr · Delhi, India · Hybrid

Commercial due diligence for leading private equity clients, supporting strategic investment decisions. My work spans across the manufacturing and electronics sectors, where I:
Conducted market segmentation analysis, import data evaluation, and identified key demand drivers to support investment evaluation in industrial manufacturing.
Partnered with a global private equity fund to assess an electronics manufacturing services company, validating revenue estimates, market positioning, and growth assumptions through extensive primary and secondary research.
Enabled clients to make informed capital deployment decisions by combining rigorous analysis with actionable insights.

Commercial due diligenceMarket segmentation analysisPrimary and secondary researchMarket analysis

Intern

Apr 2024 – May 2024 · 1 mo · Gurugram, Haryana, India

Received Pre-Placement Offer
During my internship with the Diversified Industrial Products (DIP) team, I had the opportunity to develop a specialized product designed to streamline logistics cost estimation for cement manufacturers. The goal was to enhance cost efficiency by targeting logistics, a major expense in cement production.
🔹 What I Built: I created a zero-based costing tool that allows companies to estimate logistics expenses more accurately on new transportation routes. By inputting transportation details, such as content volume and route specifics, the product provides a detailed forecast of total logistics costs and calculates cost per ton per km—vital metrics for effective cost management.
🔹 Impact: With logistics costs comprising a significant share of total production expenses, this tool enables companies to make more informed decisions and drive down costs through strategic planning.

Logistics cost estimationZero-based costing toolCost estimationLogistics management

Jio platforms limited (jpl)

Data Scientist

Aug 2020 – May 2023 · 2 yrs 9 mos · Navi Mumbai, Maharashtra, India · Remote

During my time at Reliance Jio, I worked at the intersection of business strategy and product development to design and deploy solutions that streamlined operations and drove cost savings:
Neural Network-Based Digital Twin: I developed a digital twin model for equipment that lacked a simulation model, allowing real-time quality predictions. Previously, output quality was verified through lab tests, a process that took two hours and often led to losses if quality issues were discovered too late. By building a neural network-based twin that used sensor data to forecast quality, I helped reduce off-specification products, leading to significant cost savings and operational efficiency.
Web Application for Data Integration: To support multiple teams working on similar digital twin projects, I developed a web application that automates data extraction and processing for time-series data from various equipment. By centralizing data wrangling workflows and designing a cohesive data flow, I streamlined the process for teams, reducing redundancy and enabling faster insights. I collaborated with cross-functional teams to design the application and implemented backend APIs to ensure seamless data access.

Neural networksDigital twin technologyWeb application developmentData integrationData scienceProduct development