Sumit Kaushik Email and Phone Number

Curriculum Development and Innovation: Led the research and creation of cutting-edge technology curriculums, securing MOUs with multiple universities and significantly expanding educational impact.E-learning Overhaul: Spearheaded a case-study-based e-learning curriculum overhaul, enhancing engagement and market competitiveness for students and professionals.Technical Upskilling Initiatives: Elevated technical expertise across departments by developing tailored training programs focused on data visualization, leading to streamlined operations and better-informed decision-making.Mentorship and Team Leadership: Guided intern teams through live corporate projects, fostering a strong mentorship culture and providing valuable industry experience, which contributed to overall project success.Sales and Educational Alignment: Boosted sales effectiveness by creating technology-focused curricula, empowering the sales team to secure university partnerships and enhancing our educational offerings.Student and Client Success: Actively led masterclasses and participated in university sessions to ensure a positive student journey, aligning with a commitment to client success and satisfaction.Collaborative Program Execution: Coordinated with cross-functional stakeholders and vendors to ensure seamless execution of diverse learning initiatives, enhancing program delivery and impact.Content Creation and Marketing Support: Collaborated with sales and marketing teams to develop brochures for new courses, generate engaging social media content, and enrich training materials on the LMS, boosting brand visibility and thought leadership.Proactive Client Support: Provided technical expertise in client meetings, assisting the sales team in resolving queries and improving customer satisfaction.Agility and Adaptability: Embraced agility by understanding and addressing diverse departmental needs, ensuring continuous success and adaptability in a growing organization.

Provided Data Science training to college students on Excel, SQL, Statistics & Probability, Python Basics, Data Visualization tools like Tableau and Power BI, Data Analytics, Machine Learning algorithms using Python including Linear & Logistic Regression, K-Means, Cluster Analysis, Time Series Analysis, Forecasting, Decision Trees, Ensemble Learning (Random Forest, Bagging, Boosting), KNN, SVM, Neural Networks, NLP and Deep Learning algorithms (ANN, CNN, RNN) using Tensorflow and Keras.

▪ Provide corporate trainings & trainings to college students & working professionals on Data Analytics, Machine Learning algorithms using R, Python including Linear & Logistic Regression, K-Means, Cluster Analysis, Time Series Analysis, Forecasting, Decision Trees, Ensemble Learning (Random Forest, Bagging, Boosting), KNN, SVM, Neural Networks, NLP and Deep Learning algorithms (ANN, CNN, RNN, SOM, Boltzmann Machine, AutoEncoders) using Tensorflow and Keras.▪ Classroom and Virtual teachings for Excel, SQL, Power BI and Tableau as assigned by the Director of the colleges.▪ Virtual lectures for international students on Business Statistics, Machine Learning and Predictive Modelling.▪ Capital or Equity market training with complete sessions in Technical Analysis, Fundamental Analysis, Financial Modelling, Algo Trading including Technical and Fundamental Strategies to profit from Market, High probability Trading, Trading tools and tactics, Money Management, Risk Management, Mastering the trade proven techniques for profiting from intraday and swing trading.▪ Complete end to end Generative AI project lifecycle training covering Transformers Architecture-Encoder and Decoder, Prompting, Prompt Engineering, Fine tuning using Instruction and PEFT including LORA and Soft prompts, Scaling, Quantization, LLM optimization, LangChain, Reinforcement learning from human feedback.

Project Popcorn:Client targeted consumers with printable and digital coupons based on in-depth analysis of the data of consumer purchasing behaviors and intent, shared in the form of analytical dashboards and reports using Power BI.Key Deliverables:▪ Managed a team of 10 people for the development of reporting solution suite of 60+ Power BI reports for 100+ users.▪ Used statistical tools like R, Python (Numpy, Scipy, Pandas, Scikit-Learn) to work with the clients to map the client business problem to statistical problem and formulate hypothesis and test conclusions, and build the predictive models, helped them to leverage the business insights from the data to drive business value. ▪ Worked with client to help them discover the parameters responsible for user retention. Activities involved Dataset creation (unstructured to structured), Data Analysis & Recommending Solution, Financial Reporting. ▪ Facilitated requirement meetings and data modeling meetings to understand business requirements.▪ Carried out resource planning, technical direction, effort estimation, tracking, risk management, and mentoring.▪ Analyzed and resolved performance issues by examining user requirements and statistical trends.▪ Monitored smooth implementation and integration of the product at client’s location coupled with offshore support, designed documentation on process and procedures.Project Rhine:Provided Analytics as a Service solution to the client covering convenience and loyalty analytics across 9 European markets using actionable insights via dashboards, reports, and analytics.Key Deliverables:▪ Supported 40+ Tableau applications for 250+ users.▪ Used R, Python for Machine Learning algorithms like Linear & Logistic Regression, K-Means, Cluster Analysis, Decision Trees, Ensemble Learning (Random Forest, Bagging, Boosting), KNN, SVM to solve the business problem which help the client to improve their prediction accuracy by way of providing them with actionable insights.

Project Hawaii:Debt Collection project combined strategic reporting with an analytical capability to help the client know the current status of receivables and receive valuable information on the optimization of processes, performance, and risk management. Key Deliverables:▪ Worked closely with architects and development teams on Microstrategy project designing for enhanced insight capabilities.▪ Interpreted informal requirements descriptions and detail them for the technical team’s consumption.▪ Participated in code and design reviews to ensure quality and conformance to product standards.▪ Created Visual Insight Reports, Batch reports, Datamart reports, and intelligent cubes-based reports to meet end-user requirements.▪ Designed the schema layer within the MicroStrategy environment with a thorough understanding of the business rules.

Project Tampa:Used the incredibly rich dataset to collect, transform, and analyze to improve the effectiveness of the company’s marketplace and create delight for its customers and enhance Pharmacy Data Warehouse using Microstrategy. Data was analyzed to provide insights to the management on the top and bottom SKUs to enable them to take key decisions.Key Highlights:▪ Assisted in back-end architecture-related activities and NFR considerations for RxDW Microstrategy report.▪ Assisted in detailed design for implementing BSRs to the RxDW.▪ Handled the tasks of developing design concepts of data warehouses and databases to meet BI solutions.▪ Established and developed enterprise-wide data analysis and reporting solutions that enable the business to be more effective in planning and decision making.▪ Worked with key business stakeholders to define and prioritize business reporting needs.▪ Collaborated closely with other Architects and Dev teams on application design for enhanced insight capabilities. ▪ Created dynamic executive dashboards using several flash widgets and selectors to represent the business KPIs.