Summary
Overview
Work History
Education
Skills
Timeline
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SHINAKSHI SANKHAYAN

Pune

Summary

Deputy General Manager – Data Science with an extensive experience in the power sector, driving AI/ML, optimization initiatives to optimize renewable energy operations, enhance asset performance, and drive digital transformation. Skilled in managing cross-functional teams, delivering impactful analytics solutions, and aligning data science strategy with business and sustainability goals

Overview

10
10
years of professional experience

Work History

Deputy General Manager – Data Science

Sembcorp India Private Limited
01.2023 - Current
  • Tools and Technologies: Machine Learning, Deep Learning, Time Series Analysis, LLMs, vLLM, Generative AI, MLOps, Azure Container Registry, AWS ECR, Google Container Registry (GCR), Azure Kubernetes Service (AKS), Amazon EKS, Google Kubernetes Engine (GKE), Blob Storage, S3, Google Cloud Storage, Vertex AI, SageMaker, Azure ML, Kubeflow, TensorFlow Extended, Kubernetes, FastAPI, AWS, Azure, Docker, Grafana, GitLab CI/CD, Python
  • Domain: Green Hydrogen, Green Ammonia, Power and Energy
  • Responsibilities:
  • Drove the vision and execution of data science initiatives aligned with Sembcorp’s digital transformation and sustainability objectives
  • Defined data-driven strategies to improve operational efficiency, asset performance, and decarbonization efforts
  • Collaborated with senior leadership to identify high-impact analytics use cases and support strategic decision-making
  • Liaised with cross-functional teams (Business Development, Operations, Engineering, Finance) and external partners (vendors, consultants) to translate analytical needs into actionable solutions
  • GINI - Led the adoption of Generative AI in due diligence processes, reducing manual effort and turnaround time significantly
  • BD - Optimized the business development ecosystem for Green Ammonia initiatives, streamlining processes and improving strategic alignment
  • Directed the development of advanced analytics solutions, including ML models, optimization algorithms, and digital twins for energy systems
  • Oversaw projects in predictive maintenance, energy trading, and renewable asset management
  • Championed AI/ML adoption to optimize energy generation across solar, wind, and thermal assets
  • Led and mentored a high-performing team of data scientists and analysts, fostering an innovation-driven culture
  • Established best practices for data science project delivery and cross-functional collaboration
  • Collaborated with department heads to establish goals and work plans

Senior Data Scientist

CitiusTech Healthcare Pvt Ltd
09.2022 - 12.2022
  • Tools and Technologies: Machine Learning, Deep Learning, Time Series Analysis
  • Domain: Hearing Health Data & Analytics
  • Responsibilities:
  • Lead end-to-end data science initiatives focused on hearing healthcare data, including audiometry, device usage, patient outcomes, and EMR/EHR integration
  • Collaborate with U.S.-based stakeholders to define analytics goals, use cases, and KPIs aligned with business and clinical objectives
  • Translate clinical and business problems into advanced data science solutions
  • Communicate technical findings to non-technical stakeholders through clear visualizations, dashboards, and presentations

Senior Data Scientist

Ecolibrum Energy Pvt Ltd
12.2021 - 09.2022
  • Tools and Technologies: Deep learning, Time Series Analysis, Anomaly Detection, AWS, Flask, Git version controlling, ETL, ML Pipelines, MySQL, Python, Statistical & Mathematical Methods, ML Flow, Pytorch, Tensorflow
  • Domain: Power and Energy
  • Responsibilities:
  • Developed anomaly detection models for Specific Energy Consumption for the efficient energy management for various assets such as UPS, Turbine, AHU, Compressor etc
  • Developed LSTM, fbprophet, time series models such as VAR, SARIMA etc for forecasting the various parameters of an assets such as temperature, pressure etc
  • Developed ETL pipeline in AWS for connecting multiple data sensors, cleaning the data and loading it in the s3 bucket

Senior Data Scientist

Suzlon Energy Ltd
05.2018 - 11.2021
  • Tools and Technologies : Deep Learning, Computer Vision, Time series analysis, Azure Data factory, Azure Data lake, MySQL, Machine learning, Git-version control, Anomaly Detection, Python, Azure DevOps, ETL
  • Domain: Power and Energy
  • Responsibilities:
  • Performed Vibration Analysis for Generator's stator and rotar current using FFT, Concordia transform, park transform and Deep learning technique 1D CNN
  • Performed noise analysis and Implemented Research Papers to identify the defects in the Bearings.
  • Developed a Deep learning model (autoencoder) to understand the signals coming from Gearbox to diagnose the problems.
  • Gearbox Oil Sample Analysis using deep learning techniques. Developed Computer Vision Model for Detection of defects in the Blades in Wind Turbine.
  • Built Flask sockets, REST API Checked for the maintenance of Deployed model and code manually and with the help of Version control system too.
  • Reading CAMS, CDSL pdf files into machine readable format. Explored and implemented various Python libraries such as Keras, Tensor Flow, Torch, Pandas, Matplotlib, Scikit Learn etc.
  • Implemented various Machine learning concepts like Data Processing, Supervised, Unsupervised Learning, Classification, Regression etc
  • Web application on EC2 Cloud platform for Bearing, Generator and Gearbox problems. Created Product and backend APIs and coded the backend logic by UI team and Deploy web
  • Developed Trained Facebook Prophet model with XGBoost (Ensemble method) Model for Forecasting Parts of turbine.

Statistician

Concentrix
04.2015 - 04.2016
  • Tools and Technologies : Statistical Methods, Predictive analytics, MATLAB, SciLab, Python, Machine Learning, Neural Networks, Azure Data Lake, SQL, Time series Analysis, Forecasting, Multi variate analysis
  • Responsibilities:
  • Created dashboards using Apache Superset for visualizing the data.
  • Performed predictive analytics on telecommunication data.
  • Implemented various Machine learning concepts like Data Processing, Supervised, Unsupervised learning etc.
  • Build conversational chatbot to provide elementary information to the telecommunication customers
  • Using various statistical sampling methods, performed sampling on the datasets.
  • Developed mathematical as well as statistical functions in python programming language
  • Fetched data using MySQL queries from the AWS redshift.

Education

Master of Science - Mathematics

Mount Carmel College Bengaluru
01.2018

PG Program - Data science

Aegis School of Data Science
01.2020

B.Sc Honors - Mathematics

Maitreyi College
01.2015

Senior Secondary -

DAV Sr. Sec. Public School Barmana
Barmana, HP
04-2012

Matriculation Examination -

Minerva Sr. Sec. Public School Ghumarwin
Ghumarwin, HP
04-2010

Skills

  • Python
  • Flask
  • Advance Excel
  • Azure
  • AWS
  • Tableau
  • Apache Superset
  • Apache Kafka
  • Pyspark
  • ETL
  • Azure Data Lake
  • Azure Data factory
  • Statistics
  • Git control version(Git)
  • Generative AI
  • LLMs
  • MySQL
  • Qlik Sense
  • Grafana
  • Time Series Modeling
  • Anomaly Detection
  • OpenCV
  • Machine Learning (Supervised & Unsupervised)
  • Data Science
  • Deep Learning
  • MLOps
  • Databricks
  • Computer Vision
  • AWS Sagemaker
  • Cross-functional team coordination
  • Leadership and team building

Timeline

Deputy General Manager – Data Science

Sembcorp India Private Limited
01.2023 - Current

Senior Data Scientist

CitiusTech Healthcare Pvt Ltd
09.2022 - 12.2022

Senior Data Scientist

Ecolibrum Energy Pvt Ltd
12.2021 - 09.2022

Senior Data Scientist

Suzlon Energy Ltd
05.2018 - 11.2021

Statistician

Concentrix
04.2015 - 04.2016

Master of Science - Mathematics

Mount Carmel College Bengaluru

PG Program - Data science

Aegis School of Data Science

B.Sc Honors - Mathematics

Maitreyi College

Senior Secondary -

DAV Sr. Sec. Public School Barmana

Matriculation Examination -

Minerva Sr. Sec. Public School Ghumarwin
SHINAKSHI SANKHAYAN