Sparsha D.

About Sparsha D.

Experienced Data Scientist adept at statistical modelling, forecasting, predictive analysis, simulation and optimisation. Ability to employ (data) statistics and machine learning capabilities for finding complex data patterns that drive meaningful impact on business. Experienced in working in the end-to-end pipeline of Data Science projects as well as in Research and Development (R&D) teams.Some sample projects I have worked on include - Prediction the success probability of an Agile Project and defining it\'s contributing factors- Optimised the number of agents and improve customer experience, by streamlining customer banking process using simulation- Data Quality checks through the process of anomaly detection and PyDeequ- Determine the quality of blades of airplanes via various quality tests and provide statistical results to establish the significant quality test- Forecasting future sales of various products and provide price marginals- Forecast various Agile metrics and determine the sentiment of the service logs.Worked on various machine learning algorithms, with techniques such as - Statistical Modelling (Z-Score, ANOVA, Tukey\'s Method, Mann-Whitney\'s U test, Krushal Wallis Test, etc,)- Supervised learning (e.g. Logistic Regression, XGBoost, Random Forests, LDA, Neural Networks etc,)- Unsupervised learning (e.g. K-means Clustering, Hierarchical Clustering, PCA, K-Modes, Isolation Forest etc,)- NLP (e.g. Sentiment Analysis, Text Similarities, Topic-modelling, Universal Sentence Encoder etc,)- Time Series Analysis (e.g. Holts-Winters, ARIMAX, Prophet, LSTM, Dynamic Time Warping, PyAF etc,)- Image Processing (e.g CNN, YOLO5 etc,)- Explainable AI - LIME, Partial Dependency Plots(PDP), SHAP, Integrated Gradients etc- Bayesian Modelling using PyMC3Some of the technologies that I\'ve worked with- Python (pandas, NumPy, scikit-learn, NLTK, TensorFlow, Keras, plotly, matplotlib, seaborn, Gensim etc,), C#- SQL - MS SQL, Snowflake, Oracle, PL/SQL, Postgresql / No-SQL - MongoDB, Redis(basics)- Cloud providers like AWS, Azure and GCP- Development tools like Git - Github/BitBucket/Gitlab, virtual environments, Docker, MLFlow, Feature Store and Jenkins- Visualisation tools like Grafana with Prometheus Query Language, Sql Server Reporting ServiceDomain - IT - Agile- Marketing- Finance- Manufacturing- End User Computing- Supply Chain ManagementFeel free to connect and shoot a message to my inbox.

Experience

1. Senior Ai Ml Scientist

   A.P. Moller - Maersk

   Jan 2024 — Present · Bengaluru, IN

Education

• Jawaharlal Nehru Technological University

  Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering

  2007 — 2011

• Birla Institute of Technology and Science, Pilani

  Master of Technology - MTech, Data Science and Engineering

• St Andrews High School, Suchitra

  High School Diploma

Skills

• Agile Methodologies
• Rdbms
• Relational Databases
• Visual Studio
• Python
• Machine Learning
• Javascript
• Mvc Architecture
• Asp.net Mvc
• Windows Communication Foundation (Wcf)
• Json
• Css
• .net Framework
• C#
• .net
• Pl/Sql
• Ssrs
• Sql
• Visio
• Asp.net
• Asp.net Web Api
• Team Foundation Server (Tfs)
• Requirements Analysis
• Html5
• Microsoft Sql Server
• Mongodb
• Web Services Api
• Sdlc
• Business Analysis
• Ado.net
• Microsoft Office
• Databases