Customer Success Chief Product
Resume:
WORK EXPERIENCE PROFILE
EDUCATION
Kaniska Mandal
Chief Product & Innovation Officer with more than 23 years of experience in designing, developing, launching and managing Data & Analytics Products and Platforms for Startups and Enterprises in Retail, Healthcare, Networking and IOT verticals. Deep expertise in implementing and productizing AI/Gen-AI powered solutions. Acted as a strategic advisor for growing Startups and a mentor for AI Societies. Self-Service DSML & Decision Intelligence
Sparkflows Inc., Chief Product & Innovation Officer, August 2022 —
• Leading the Product Management, R&D and Customer Success at Sparkflows.
• Leading Architecture, Implementation & Marketing of Self-Service AI & Gen-AI.
• Managing multiple teams and fostering a collaborative research environment.
• Responsible for launching 60+ cutting edge AI/Gen-AI Vertical Solutions.
• Managing Customer Success and driving Adoption for 3 major Accounts.
• Directly involved in Growth, Marketing, Sales, Partners and Customer. Retention/Acquisition and Analyst relations.
Healthcare
CVS Health, Technical Director - AI-driven Transformation Mar 2021 – Aug 2022
• Led the design and development of cutting-edge MLOps and Data Science Solution Platform (Symphony). Immediate productivity boost for 500+ data scientists and cost savings for company.
• Conceptualized and initiated the project MEntyGra (Medical Entity Graph)
• Conceptualized NLP-driven Clinical document Analysis tools (MIDAS & CIENA), estimated to increase revenue by manifold. Retail eCommerce
Walmart eCommerce, Staff Big data Engineer (Sr. Manager), Growth Marketing
March 2019 — April 2021
Led the development of
• Cooperative Optimization of Search Marketing
• Search Engine & Affiliates Marketing with Comprehensive Rank Factor Analysis
• Page Recommendations (Collaborative Filtering, Clustering, Classification, NLP and Customer Intent Mining).
This product handles 10 petabytes of daily page impression, bot logs and user interaction data and automatically generates 1B+ recommendation links for 100M+ assortment pages and led to $20 M boost in revenue.
Developed ML pipelines and Data processing application for running SEO Experimentation and Page quality analysis on 100 millions assets for smooth-running of
$4 billion dollar SEO Business.
Pleasanton, CA
*******.******@*****.***
https://kaniska.github.io/
linkedin.com/in/kaniskamandal/
github.com/kaniska?
tab=repositories&q=&type=public
Professional ML Engineering
(Google)
Healthcare NLP (JSL)
Spark (Databricks)
Practical ML, R, Regression Models
(John Hopkins)
ETL, Datawarehouse (Kimball),
Hadoop (Horton Works)
Georgia Institute of
Technology
(https://www.gatech.edu/)
2016 — 2018
Masters in Computer Science,
(Spl. - Machine Learning)
Institute of Engineering &
Management
(https://iem.edu.in/)
1997 — 2001
Bachelor of Technology (B.Tech),
Computer Science.
Research Paper Presentation:
“Advanced methods for object
localization in constrained
environment”, IEEE
SouthEastCon (NASA)
Partnered with Growth Marketing Data Science team to enhance SEM Ad expense optimization, channel attributions, and CLTV algorithms. Extreme collaboration with many different teams (Data Graph, Search, Site Analytics). Led the exploration and integration of external tools (Botify, SEMRush, BrightEdge) with internal platforms in order to enrich the marketing analytics dataset. Participated in extensive hiring and team building process. Walmart eCommerce, Sr. Engineer, Retail Data Platform Feb 2014 — March 2016
Conceptualized and productized key platform initiative - PEBL for building ‘Automated Data Pipeline Generator with built-in Actionable Analytics Workflow’ which improved developer productivity by 80%
Designed and developed product catalog and content analysis pipelines to enable product recommendations.
IOT, Networking, Smart City
Sensity Systems (Verizon), Principal Big data Engineer (Director), Smart City September 2018 — March 2019
Founding architect of Smart City ML & Analytics Platform which was deployed in San Jose City for Traffic Route optimization and Predictive Parking. Developed Image Analysis pipelines which captures data from Edge devices in Laguna Beach and aims at ensuring the Pedestrian Safety . Created apps using API Gateway, EMR-Glue-Athena pipeline for Spoken City Connected Transportation
ML: Sklearn, R, JSL-NLP, Tensorflow,
Image Recognition, Vertex AI
(MLOps)
Full Stack: Java, J2EE, NodeJs,
ExpressJs, Python, Flask, Kibana
Bigdata: Spark, Hadoop,
Databricks, Dataprocs, EMR,
Flink, Beam, Kinesis,
ELasticSearch, Solr
Database: MySQL, BigQuery,
HBase, Cassandra, MongoDB,
TigerGraph, Neo4j
Management: Team building,
Mentoring, Business problem
framing, Product MVP
Presentation & Write-ups:
Blogging, Internal Research,
Articles, Public Speaking.
Open Source: Global hackathons,
OSS for Social Goods
Enlighted Inc. (Siemens), Sr. Principal Big data Engineer (Director), IIOT - RTLS
May 2017 — September 2018
Founding engineer of product 'Where' - a first-of its kind RTLS in Industry for Patient Care, Asset Utilization, Asset Loss Prevention, Threat detection Developed streaming pipeline for locating objects through application of advanced prediction algorithms (sub mili-sec latency), analytics and data science by crunching billions of Sensor streams.
Led the successful roll-out of the product in top tier hospitals. Played critical role in successful acquisition of the company through demonstration of the innovative product.
Tesseract (Cisco - spin off), Lead Data Scientist, IOT - Digital Networking March 2016 — May 2017
As a founding engineer, led the initial Data Science and Data Engineering work of ground- breaking Network Insights Graph to visualize and query User-Device-Apps Interactions & Stats. Designed the Rules-Engine, Domain Graph Traversal DSL with built-in Intelligence. Worked on Real-time Predictive Diagnostic Model for Multi-protocol Network Packet analysis that greatly helped Wifi Network performance boosting, troubleshooting, utilization and threat mitigations.
SAAS Analytics
Dell Inc, Principal Engineer
Jan 2011 — Feb 2014
Founding Member of the Dell Business Cloud Analytics (DCBA) Platform for CRM, Finance and Marketing.
Actively Participated in the development of Machine Learning Tool (Kitenga) and PATENTS, AWARDS AND
ARTICLES
Patent US20140229423A1:
Data Consistency for Cloud
Analytics with Replayable,
Self-resilient Timemachine.
US20140229628:
Cloud-based Streaming
Receiver & Persister with
Context Injection Protocol.
Award: Above & Beyond
(Walmart eCommerce)
Public Tutorial: “Deep
Learning, RNN, CNN, NLP”,
Spotle.ai
Public Talk: “Machine
Learning Applications in
eCommerce”, ValleyML.ai, Dec
2019
Conference Paper Reviewer:
IEEE GHTC (Global
Humanitarian Technology
Conference)
visualization, faceted search.
Invented Intelligent Context Injection protocol for streaming application data on Cloud and developed a comprehensive automated ETL workflow on cloud with through extensive RnD.
Rolled out the complete SAAS solution with user-authentication to internal clients. Enterprise Tools
Imaginea Technologies, Lead Architect (Tools, Application Server) Jan 2005 — Jan 2011
Lead Architect of Pramati Application Server (Industry’s 1st J2EE 1.3 certified App server) Principal Engineer for Tibco ActiveMatrix. Led implementation of Service Component Architecture (SCA) for Business Policy Engine.
Conceptualized and the developed the award-winning Tibco Rules Editor, Graphical Business Object Modeler and State Machine Modeler. Implemented Industry’s first ‘API Mashup Protocol Language’ Presto & corresponding Language Editor.
Independent Contributions
Startup Ventures & Non Profit Affiliations, Advisor January 2014 — Present
Spotle.ai : AI-powered Education and Career Network Startup Angel Investor, Thought Leader, Workshop Instructor and ML Mentor. AI-For-Mankind: OSS for Social goods
Hacker, Open source contributor, Tech Evangelist and Hackathon organizer. MediScene, MedBots (Entrepreneurial)
Drugs Mining & Patient Symptom Analysis
VC Pitch, Mentoring. Built product suite using FHIR, UMIA ML, NLP, BigData ETL. Privaclave: Data Security Enforcement Startup, Advisor Blogs, Articles, Paper and Open Source
January 2005 — Present
Publications: https://www.researchgate.net/profile/Kaniska_Mandal/publications Research Paper: https://ieeexplore.ieee.org/abstract/document/9020423 Wordpress: https://phisymmetry.wordpress.com
Github: https://github.com/kaniska?tab=repositories Medium: https://towardsdatascience.com/@phi_symmetry Open source: ABAGAIL (Top 20 AI library), M-Model-Evaluator, Covita, Wild-Fire-Detection, Spark-NLP, Gradient
More details: https://kaniska.github.io/
Hackathon Winner: (2nd)
Wildfire detection
(AIForMankind.org)
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