Dipesh Khichada

Data Analytics & Engineering Enthusiast at Morningstar | Python • SQL • ML • Big Data | Financial Data | Bridging Analytics & Automation

Role
Data Analyst at Morningstar
Location
Navi Mumbai, IN
LinkedIn followers
500 followers
Finance & AccountingView LinkedIn profile

About Dipesh Khichada

Data Research Analyst at Morningstar, specializing in Reference Entity Data within the…

Experience

  1. Data Analyst

    Morningstar

    Sep 2024 — Present · Navi Mumbai, IN

    Data Analyst – Fixed Income (Reference Entity Data)Key Responsibilities: Built scalable ETL pipelines using Python and APIs to process 40M+ SEC N-PORT filings, enhancing ingestion performance by 40% and streamlining data lake integration. Designed and implemented end-to-end data workflows for extracting, cleaning, validating, and exporting financial datasets, reducing latency in research and analysis pipelines Reconciled 10M+ ISIN/CUSIP records from multi-sheet Excel and SQL systems with 99%+ accuracy, ensuring precise cross-asset and issuer-level mapping.Highlighted Projects: FRED API IntegrationAutomated extraction and validation of 180+ U.S. macroeconomic indicators using Python; structured data aligned with internal data lake/warehouse models. SEC EDGAR ScraperParsed 18M+ SEC filings in JSON via SEC API; automated transformation into Excel for Fixed Income teams, improving access and reducing manual handling. Liquidity Stats EngineDeveloped a data-matching pipeline using Python, SQL, and Excel to integrate data from CID, ICE, and internal sources achieved 98% match accuracy and reduced manual effort by 30%. Action Economics AutomationCleaned and converted raw.txt economic forecast files into structured Excel formats; improved data readiness and reduced analyst prep time by 50%. NLP-Based Industry Classification ModelUsed Python to build an automated solution for classifying business segment descriptions into industries. Applied NLTK for text preprocessing (cleaning, tokenization, lemmatization) Transformed data using TF-IDF vectorization Trained a Random Forest model for accurate industry predictionSkills & Tools:Languages & Tools: Python, SQL, Excel, APIs, pyodbc, openpyxl, Pandas, NumPy,Tensorflow,ScikitPlatforms & Tech: Data Lake, Data Warehousing, ETL Pipelines, SEC EDGAR, FRED API,Machine LearningDomain Expertise: Fixed Income Reference Data, Macro Indicators, Regulatory Filings,Machine Learning,Data Engineering,NLP

Education

  • Karmaveer Bhaurao Patil College - India

    HSC

    2017 — 2018

  • National College of Ireland

    Master's degree

    2023 — 2024

  • K J Somaiya College of Science & Commerce Vidyanagar Vidyavihar Mumbai 400 077

    Bachelor's degree

    2018 — 2021

Find verified contacts for anyone on LinkedIn

Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.

Free plan included · No credit card required

This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.

Dipesh Khichada — Data Analyst at Morningstar in Navi Mumbai, IN | Unifers