Nandish M R Email and Phone Number
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Nandish M R personal email
An accomplished Data Science Professional with over 15 years of experience, I specialize in driving business growth through data-informed decision-making and strategic execution of go-to-market strategies. My expertise lies in building and guiding high-performance teams, managing complex projects, and delivering significant business value via advanced analytics. As an adept communicator with a comprehensive understanding of the business landscape, fueled by a passion for transforming data into actionable strategic plans, I possess exceptional knowledge of the domain, business operations, and analytics tools for effective data analysis. With global experience across industries like Tech, Retail, CPG, Telecom, Auto, Insurance, and Financial Services, I focus on Sales, Marketing strategies, Customer Experience, and Product Management. I am enthusiastic about extracting and analysing complex data to communicate information and assist businesses in solving intricate problems using advanced analytic techniques. In my current role, I excel in expanding our consulting business to enhance revenue growth and in designing and implementing robust data science solutions. I also take on people-related responsibilities to foster a supportive work environment within the company. My skills include aligning the consulting business with the organization’s goals for strategic consistency, building and maintaining strong relationships with key clients, and leading the team in developing proof-of-concepts and project proposals.As the main point of contact for escalations within the consulting business, I oversee communications with all stakeholders, provide advanced analytics consultation, direct Project Managers and Lead Data Scientists towards successful project completion, and oversee risk and issue management. I implement necessary corrective actions to ensure the success of all consulting services. An expert in Statistics & Algorithms, including Descriptive, Hypothesis Testing, Time series, Clustering, Segmentation, Classification, Regression, NLP, RNN, DNN, Monte Carlo Simulation, BG-NBD, Markov Chain, VAEs, GANs & Transforms. Proficient in Programming languages like SAS, SQL, R, HiveQL, UNIX, Python & PySpark. Experienced with Databases, Platforms, Tools & Operating Systems such as SQL Developer, SQL Server, Azure SQL DB, Apache Hadoop, Azure Ecosystem, Google Cloud Platform, SAS EG, SAS Studio, RStudio, Spyder, Jupyter Notebook, Cisco Cloud Solutions, MongoDB, Windows, macOS. Skilled in Data Viz tools like Excel, Tableau, Streamlit & Power BI.
Scienaptic Ai
View- Website:
- scienaptic.ai
- Employees:
- 96
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Head Of Ai Consulting, ApacScienaptic Ai Jan 2022 - PresentBengaluru, Karnataka, India• Broadening the scope of our consulting business to drive revenue growth.• Architecting and executing robust data science solutions to tackle intricate business problems.• Handling people-related responsibilities to cultivate a nurturing work atmosphere within the company.• Harmonizing the consulting business with the organization’s objectives for strategic consistency.• Establishing and nurturing robust relationships with key clients, ensuring our services align seamlessly with their business goals.• Spearheading the team in crafting proof-of-concepts and project proposals, while actively engaging in request for proposals (RFPs).• Acting as the primary liaison for escalations within the consulting business, managing communications with all stakeholders.• Offering advanced analytics consultation to enable data-informed decision-making.• Guiding Project Managers and Lead Data Scientists, steering them towards successful project completion.• Supervising risk and issue management, implementing necessary corrective measures to guarantee the success of all consulting services. Projects or Solutions to highlight: • Conversational AI (Chatbot): Empower users with an AI-powered virtual assistant seamlessly integrated into the Support Channels. The primary objective of this interactive chatbot is to expedite query resolution, thereby enhancing user experience. Algorithms: XGBoost, BERT (Modeling Layer)• Cross-selling Strategy: Optimize conversion rate using a daily outreach strategy based on historical data like call disposition, talk duration, and call attempts. This approach targets prospects with high conversion likelihood. Algorithms: XGBoost • Customer Experience Program (Sentiment): Enhance satisfaction and improve offerings by analysing feedback post-EV purchase, test rides, and rejections. Understand sentiment using algorithms to extract and score text data. Classify feelings into categories. Algorithms: BERT, LSTM. Final Model: BERT -
Analytics Program Manager, Applied Artificial Intelligence (Aai)Course5I Dec 2019 - Oct 2021Bengaluru, Karnataka, India• Architect end-to-end Data Science Solutions to solve complex Business Problems• Spearhead POCs, Project Proposals & participate in RFPs• To be a Single Point of Contact for the entire Program• Responsible for Costing, Resource & Project Planning• Mentoring/Guiding Project Managers & Lead Data Scientists• Managing Stakeholders Communication• Managing risks and issues and taking Corrective measurementsProjects/Solutions to highlight:• Retail Store Identification: Build a tool which can help in finding the right retail stores, where in-store campaigns can be more effective by improving conversion rate & increase in revenue.Algorithms & Methodology: XG-BOOST, Random Forest ClassifierFinal Model Selected: Random Forest ClassifierEnvironment & Tools: Azure Databricks for modeling & Azure Web App Service for web hosting. • Incremental Sales Potential - Simulator: Build a simulator, which supplies the capability to adjust modern devices share, average selling price & refresh cycle to cover all scenarios & supply simulated results by different device tier, which helps the business in taking decision on optimal product mix.Algorithms & Methodology: MARS, ARIMA, Exponential Smoothing & Monte Carlo SimulationEnvironment & Tools: RStudio for Modeling, Excel for Monte Carlo Simulation & Power BI for making the output interactive.• Customer Lifetime Value: Design and implement customer lifetime value (CLTV) models that enable Microsoft to optimize investments and establish a compelling value proposition.Algorithms & Methodology: BG-NBD, Markov Chain, XG-Boost, Deep Neural NetworkFinal Model selected: Random Forest RegressorEnvironment & Tools: Azure Databricks for Modeling & Power BI for making the output interactive. -
Lead Analytics Consultant, Marketing Analytics (Mara)Allstate India May 2014 - Oct 2019Bengaluru Area, IndiaLead Analytics Consultant, Marketing Analytics (Apr 2018 - Oct 2019)Senior Analytics Consultant, Marketing Analytics (May 2014 - Mar 2018)• Model Building: Developed lifetime value (LTV) models for customer acquisition. Algorithms: Binary Classification Models. Final Model: XG-BOOST. Impact: In-house models led to cost savings and enhanced performance. • Model Validation: Understood model variables’ impact and degradation effects. Responsibility: Developed Tableau visualizations for predictor trend analysis and champion vs. challenger comparisons. Impact: Ensured model performance and monitored potential degradation. • Data Visualization: Provided Leadership with insights into organic vs. paid web Traffic. Responsibility: Designed a big data solution by integrating Tableau with Hadoop and developed a local engagement dashboard. This dashboard empowers regional managers to make informed decisions on their online marketing budget by providing visibility into organic vs. paid web traffic for marketing campaigns across various campaign funnels. Impact: Streamlined marketing budget through a phased approach in successive quarters. • Deep Dive Analytics: Served as the central liaison for deep-dive analysis and analytics solutions for the Allstate Global Marketing Team, focusing on segmentation, customer targeting, and lead optimization. Analysis: Utilized COHORT analysis to discern patterns in insurance renewals. Implemented a two-stage conversion process for insurance policy sales. Conducted hypothesis testing to compare the effectiveness of standalone Linear TV Advertising and Cross-Media Advertising. Addressed the Cross-Media Audience measurement challenge by quantifying Campaign Sales Lift using the Difference-in-Differences Technique. Impact: Data-driven insights contributed to decision-making, yielding cost savings. -
Lead Data Analyst, Marketing Analytics (Mdf)Hewlett Packard Enterprise Oct 2008 - Apr 2014Bengaluru Area, IndiaLead Data Analyst, Marketing Analytics (Oct 2012 - Feb 2014)Senior Data Analyst, Marketing Analytics (Apr 2010 - Sep 2012)Associate Data Analyst, Channel Sales Analytics (Oct 2008 - Mar 2010)• Model Building: Forecast product sales to assess the impact of the marketing development fund (MDF) allocated to channel partners. Algorithms & Methodology: Time Series (ETS, ARIMA, ARIMAX) Final Model selected: ARIMAX Output & Impact: Guided by our model insights, we strategically allocated the optimal amount of Marketing Development Fund to our partners. This not only resulted in significant cost savings but also, with partners implementing our recommended campaigns, led to sales performance exceeding expectations. • Data Visualization: Tableau dashboard providing regional sales insights across various business lines.Responsibility: Assisting regional managers by developing a centralized Tableau dashboard to provide insights into product sales in the APJ region. Output & Impact: Timely decisions, informed by actionable insights from the dashboard, positively impacted sales. • Deep Dive Analytics: Responsibility: Serving as the primary liaison for the APJ regional Marketing Team, facilitating deep-dive analysis of channel sales data. Analysis: • Conducted sentiment analysis on channel partner surveys to identify key challenges and enhance partner experience. • Leveraged historical data and advanced analytic techniques to identify the most effective marketing medium for campaigns, providing strategic recommendations to channel partners. • Led the creation of a recommendation list for disbursing Co-Op Funds to channel partners, based entirely on the analysis of each partner’s historical sales performance. Output & Impact: Improved Channel Partner Experience, effective Marketing Development Funds & Co-Op Funds use, significant increase in Sales.
Nandish M R Education Details
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Symbiosis, PuneA(First Class) -
Economics -
Atncc, ShimogaA++(First Class With Distinction)
Frequently Asked Questions about Nandish M R
What company does Nandish M R work for?
Nandish M R works for Scienaptic Ai
What is Nandish M R's role at the current company?
Nandish M R's current role is AI Consulting Leader | Data Science Enthusiast | Empowering Businesses with Al Solutions.
What is Nandish M R's email address?
Nandish M R's email address is na****@****tic.com
What schools did Nandish M R attend?
Nandish M R attended Symbiosis, Pune, Indira Gandhi National Open University, Atncc, Shimoga.
Who are Nandish M R's colleagues?
Nandish M R's colleagues are Divakar J, Sushil Nath Gupta, Anshul Sharma, Ankit Shaw, Ajay Karthikeya, Adams Lejo, Sumalatha Ml.
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