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Over 6.8 Years of IT experience on data driven application design and development with 5 years of relevant hands-on-experience in various Azure data services..Proficient in Azure technologies such as Azure Data Factory (ADF), Azure DataBricks (ADB),Azure Synapse Analytics, Azure Active Directory, Azure Storage, Azure data Lake Services (ADLS), Azure key vault, Azure SQL DB, Azure HDInsight.Having good hands on experience on Azure DevOps (ADO) services like Repos, Boards, Build Pipelines (CI/CD), Ansible (yaml scripting) for resource orchestration and code deployment.Hands on Experience developing data engineering frameworks and notebooks using Azure databricks using Spark SQL, Scala, pyspark.Experience in Apache Hadoop frameworks such as Hdfs,Map Reduce, Hive etc.Experience in Microsoft Azure Cloud with Data Factory,LinkServices,HDI Cluster ,DataLake Gen2and DataBricks.Good knowledge on Azure synapse Analytics.Proficient in Big data ingestion tools like kafka, spark streaming and sqoop for streaming and batch data ingestion.Worked with Big Data distributions like Hortonworks (Hortonworks 2.1) with Ambari.Hands-on experience in application development using Java, RDBMS, and Linux shell scripting.Hands-on experience working with IDE tools such as Eclipse, NetBeans and Maven.Worked on Tableau to generate reports.

Mncedisi is a proactive, ambitious and curious Data Scientist with a positive attitude and passion to uncover answers to major business questions through data analytics, modelling and machine learning along with business sense. He is adaptable and open to learn new concepts in Data Science or Analytics space to continuously build on his previous knowledge and add value. He considers a great work ethic, proactiveness, his ability to learn and adapt quickly as his greatest strengths. He has an ability to present insights to a wide spectrum of stakeholders, build and maintain relationships. His professional interests are using his toolbox of programming, machine learning, statistics, and probability to solve challenging problems. These problems can be theoretical or practical in nature.


  Seasoned Lead Data Scientist with over 14 years of total experience (11 years in Machine Learning and Gen AI, complemented by 3 years in market research), specializing in Machine Learning, Natural Language Processing, and Gen AI. I aim to harness my leadership skills to guide teams in addressing significant business challenges. I excel in Leading Data Science Strategy, Machine Learning Architecture Design & Development, Cross Functional Collaboration, Project Management, Stakeholder Management, Data Visualization and Intuitive Storytelling. My proven ability to thrive in innovative, problem-solving environments is underscored by accolades from stakeholders, recognizing my exceeding expectations in experimentation and research, leading to impactful contributions. Proven track record in mentoring and onboarding, adeptly leading a team of 2 FTEs. Previously, I supervised 4 assistant managers, while mentoring approximately 20 interns and short-term assignment roles and conducted over 100 data science position interviews.
  My expertise spans Marketing and Customer Analytics (B2B and Retail), eCommerce, Fraud Analytics, Supply Chain Finance, Demand Planning & Workforce Management, BFSI, and Retail Banking. Specializing in robust ML solutions, I cover Fraud Analytics, Marketing Analytics, Customer Scoring & Campaign Management, Demand Forecasting, AB Testing, RFM Analysis, and Gen AI Chatbots. Additionally, I excel in delivering business intelligence and fulfilling data visualization requirements.
  Proficient in a wide range algorithms including Regression (Linear/Logistic/LASSO/Ridge/Stepwise), Decision Trees (CART/CHIDE), Clustering (K-Means/Hierarchical/DBSCAN), Ensemble Methods (Random Forest/BAGGING/XGBOOST), PCA, Advanced Time Series Analysis (ARIMA/SARIMA/Holt-Winters/ES), and Association Mining (MBA/Sequence Analysis), Natural Language Processing, Neural Network and LLM.
  My toolkit includes Programming (Python, R & Advanced SAS), Bigdata (PySpark), SQL (SQL Server/Oracle/Hive/PostgreSQL/Presto), AWS (EMR, S3, EC2, Glue, Athena, Redshift, Quick Sight), Azure (Databricks, Synapse, Blob Storage, Copilot Studio, Azure Function, Power Automate), BI Tools (Tableau, Quick Sight, Power BI, SAP BO), MS Office (Excel, PowerPoint, Visio). In addition, I am certified in Advanced Business Analytics from IIT Hyderabad and possess a base SAS certification.


Experienced Data Scientist with 17 years of expertise in developing and implementing data-driven solutions across various industries, including automotive, aerospace, e-commerce, and finance. Highly skilled in programming and big data technologies, with 9 years of hands-on experience using Hadoop and Spark, and 3 years with Microsoft Azure and Databricks. Proficient in leveraging AI, machine learning, and generative AI techniques to drive business insights and innovation. Known for mentoring junior colleagues and fostering collaborative team environments. Proven track record in developing scalable applications for data analytics, processing complex datasets, and delivering actionable insights. Participated in Spark Summit Europe in 2015, 2017, and 2019.

Sarthak Singh

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Associate Data Scientist

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Bachelor of Technology - Aerospace Engineering

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