Pankaj Mahadik

Co-Founder

India17 yrs 9 mos experience
Highly Stable

Key Highlights

  • Led projects recovering over $2M in stalled revenue.
  • Enhanced portfolio profitability by 12% through AI-driven systems.
  • Built scalable data pipelines for real-time analytics.
Stackforce AI infers this person is a Fintech expert specializing in AI-driven financial solutions and blockchain technology.

Contact

Skills

Core Skills

Machine LearningBlockchainFinancial Modeling

Other Skills

Algorithmic TradingAmazon Web Services (AWS)Black-ScholesBloomberg TerminalCapital MarketsChartered Financial AnalystCloud ComputingConvolutional Neural Networks (CNN)CordaCredit RiskCryptocurrencyCryptocurrency TradingCryptographyDCF ValuationData Analytics

About

🔷 Fincienysis at the Intersection of Finance & AI I specialize in Fincienysis — the fusion of ⌖ finance, ♾ data science, and 📊 advanced analytics — to solve complex market challenges. By leveraging predictive modeling, risk analytics, and algorithmic decision-making, I transform raw data into actionable investment strategies and robust fintech solutions. 🔷 I specialize in transforming raw market data into actionable strategies using machine learning and algorithmic frameworks—because modern finance demands more than just spreadsheets. 🔷 Core Approach ▸ "The right solution is agnostic to technology — even beyond comfort zones." I combine quantitative finance with cutting-edge AI/ML to deliver results, whether: ✓ Building analytical pipelines ✓ Optimizing portfolios ✓ Implementing blockchain-based financial infrastructures 🔷 Technical & Domain Expertise ⎈ Deep-Tech Stack ◈ Data Science & Machine Learning (Python • TensorFlow • PyTorch) ◈ Blockchain Development (Smart Contracts • DeFi • Crypto Analytics) ◈ Big Data Engineering (Spark • Hadoop) & Cloud (AWS • GCP) ⎈ Financial Mastery ◈ Investment Banking | Equity Research | Risk Modeling ◈ Algorithmic Trading | Tokenized Assets | Market Microstructure 🔷 Proven Impact Across Roles I’ve led end-to-end projects (architecture, migration, decommissioning) while wearing multiple hats: ✓ As a Data Scientist: Designed AI-driven price prediction systems that enhanced portfolio profitability by 12% annually while reducing risk exposure. ✓ As a Techno-Functional Leader: Rescued 3 stalled fintech projects, delivering $2M+ in recovered revenue through technical overhauls. ✓ As an Architect: Built scalable data pipelines processing 1TB+ daily market data for real-time analytics. 🔷 Industries & Work Cultures Industries: Investment Banking | FinTech | Blockchain | Quant Hedge Funds Environments: Product-based (Agile) • Service-based (Client-facing) • Global Distributed Teams 🔷 Let’s Connect For: ✓ AI-driven financial analytics ✓ Blockchain/data engineering solutions ✓ Strategic fintech consulting

Experience

Fincienysis

Freelancer

Jan 2023Present · 3 yrs 2 mos · Remote

  • Blockchain code development for academic projects:
  • Pharma Network to prevent drug-counterfeiting and Property Registration Network – Hyperledger Fabric, and KYC for Bank customers on Ethereum.
  • Machine Learning Project development for academic projects: Analysing customer data and predicting suitable type of credit card.
  • Tensorflow based model to predict house prices using images and other attributes.
  • Prototyped Interest Rate Swaps (IRS) Pricing model.
  • Technical analysis and Research the Stock, Commodity, Forex, Cryptocurrency markets.
  • Developed S&P Index Price forecasting model for client.
Machine LearningBlockchainQuantitative FinanceAlgorithmic TradingFinancial Modeling

Bny mellon

VP | Sr Specialist Data Scientist

Sep 2020Jan 2023 · 2 yrs 4 mos

  • Built libraries for Anomaly detection and Time series forecasting that can be exposed as a service or pluggable modules in other Machine Learning solutions.
  • Being a member of central ‘Architecture and Data Science’ team, contribute to build, evaluate, and end-to-end readiness of Machine Learning, Deep Learning, NLP based Financial and other models across projects and business lines.
Deep LearningMachine Learning

Deutsche bank

AVP | Data Analyst

Aug 2015Sep 2020 · 5 yrs 1 mo

  • Domains: 𝗧𝗿𝗮𝗱𝗲 𝗙𝗶𝗻𝗮𝗻𝗰𝗲, 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗧𝗿𝗮𝗱𝗲 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴, Reference Data
  • Architected Spark, Tableau, SAP-BO ETL pipelined data-warehouse platform from ODS across 5 projects.
  • Built Machine Learning Regression model to forecast case count, and amount to be repaid for 1 year.
  • Engineered, coded and integrated SaaS (NetDocuments) component on cloud in 2 months.
  • Developed Regulatory Trade Reporting solutions as per various regulators: MAS, FCA, ASIC, HKMA
  • Evolved MiFID II (ESMA Regulatory for OTC Derivatives), Brexit on-premise and AWS based solution.
  • Migrated ANNA-DSB’s FIX API interface to REST web-services preventing 30% of defects.
  • Achieved low latency responses across applications-chain within 50 microseconds.
  • Conceptualized schema generation algorithm saved 90% coding cost and 50% release time.
  • Re-conciliated various feeds’, Bloomberg and Reuters data reducing 90% incidents.

Barclays

AVP | Technical Lead

Apr 2013Aug 2015 · 2 yrs 4 mos

  • Domain: 𝗘𝗾𝘂𝗶𝘁𝘆 𝗗𝗲𝗿𝗶𝘃𝗮𝘁𝗶𝘃𝗲𝘀 | Sophis Decommission
  • Accelerated recruitment and mentored 8 developers’ initial team in India for trade capture.
  • Excelled DB related activities for 3 months going outside of the skillset as project need.
  • Delivered legacy project in 1-month basis transition of less than a week.
  • Architected reflection-based unique code generation algorithm relieving 2 developers.

Ptc

Technical Lead

Feb 2011Apr 2013 · 2 yrs 2 mos

  • Developed Solr-Lucene based search engine across 6 Windchill modules.
  • Solutionized algorithm for ~20000 legacy saved searches to cope up with latest product architecture

Atos

Technical Lead

May 2010Feb 2011 · 9 mos

  • - Projected design for Dalkia (Energy Domain) project for competing with top 10% biddings.

Amdocs

Sr Subject Matter Expert

May 2006Apr 2010 · 3 yrs 11 mos

  • Originated solution to reduce memory footprint of LIVE project for British Telecom by 80%.
  • Development of various utilities to improve team’s productivity by 50%.
  • Resolved SSO issue at eleventh hour on AT&T client side in 8 hours overnight.

Capsilon

Engineer-II

Feb 2005Apr 2006 · 1 yr 2 mos

  • Explored ways: RMI, Socket, JMS for speeding up image processing by 25%.
  • Volunteered for 90% of Intranet portal Development.

Education

CFA Institute

Prepared for CFA® Level-1

Mar 2022Jan 2023

Swiss School of Business and Management

Doctor of Business Administration — Finance with Artificial Intelligence and Blockchain

International Institute of Information Technology Bangalore

Post Graduate Certification | Blockchain Technology

Indian Institute of Technology, Roorkee

Post Graduate Certification | Machine Learning for Banking and Finance

Centre for Development of Advanced Computing (C-DAC)

Diploma | Advanced Computing

Rajarambapu Institute of Technology, Rajaramnagar, SAKHARALE

Bachelor of Engineering - BE

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