---
title: "Manish Sonwane - Founder in Dubai | Tal"
description: "Meet Manish Sonwane, Quantitative Research |Investment Management Analyst | Data Analyst Power BI | Python | SQL | Excel |Business Analyst | Business Intelligence | Algo & Quant Trader | Immediate Joiner | based in Dubai. AI stack includes claude, codex, and cursor."
image: "https://tal.club/meet/manish-sonwane/share-image"
---

# Manish Sonwane on Tal

## Headline

Quantitative Research \|Investment Management Analyst \| Data Analyst Power BI \| Python \| SQL \| Excel \|Business Analyst \| Business Intelligence \| Algo & Quant Trader \| Immediate Joiner \|

## About

DATA SCIENCE ENTHUSIAST

## Location

Dubai

## AI stack

claude

codex

cursor

gemini

kimi

meta

## Work experience

Founder at Lirunex Academy, Feb 2025 \- Jul 2026 · 1 yr 6 mos, Bengaluru, Karnataka, India, Founded an edutech startup teaching forex and Indian equity/derivatives market trading and analysis\. Designed and delivered structured courses covering technical analysis, fundamental analysis, risk management, and trading psychology across forex and Indian markets \(equity, F&O\)\. Created market analysis content \(daily/weekly reports, live sessions, or webinars\) to help students apply concepts to real market conditions\. Built an edutech platform teaching students technical/fundamental analysis and trading strategies across forex and Indian markets\. Developed and delivered hours of course content and live market analysis sessions\. Scaled to paying students/subscribers with \[retention/growth/completion rate\]\. Managed end\-to\-end business operations: content creation, marketing, student support, and compliance and educational guidelines\.

Assistant Manager Research Analyst at Landmark Group, Nov 2023 \- Dec 2024 · 1 yr 2 mos, Conducted market, consumer, and competitor research to support strategic business initiatives across retail and e\-commerce operations\. Collected, cleaned, and analyzed large datasets using Excel, SQL, and Python to identify trends, customer behavior, and business opportunities\. Developed interactive dashboards and reports using Power BI and Excel, enabling stakeholders to monitor KPIs and business performance\. Performed quantitative and qualitative analysis to evaluate product performance, pricing strategies, and customer preferences\. Collaborated with merchandising, marketing, and business teams to provide data\-driven recommendations for inventory optimization and sales growth\. Prepared detailed research reports, presentations, and executive summaries to communicate findings to senior management\. Automated recurring data collection and reporting processes, improving reporting efficiency and reducing manual effort\. Monitored industry trends, competitor activities, and market developments to identify growth opportunities and potential business risks\. Ensured data accuracy through validation, quality checks, and adherence to organizational data governance standards\.

Consultant at Capgemini, Jul 2021 \- Jul 2023 · 2 yrs 1 mo, Built Power BI dashboards analyzing revenue trends, product performance, and regional sales KPIs\. Performed advanced SQL analysis for month\-over\-month and year\-over\-year performance reporting\. Identified top\-performing products and revenue growth opportunities through data insights\. Delivered executive dashboards used for strategic decision\-making\.

Frontend Developer at Nice Software Solutions Pvt\. Ltd\., Oct 2020 \- Apr 2021 · 7 mos, Developed a responsive web application using Angular to visualize business data through interactive dashboards\. Implemented reusable components, dynamic data binding, and REST API integration to fetch and display real\-time data\. Designed user\-friendly UI with charts, filters, and navigation features to enhance user experience\. Improved application performance by optimizing component loading and state management\. Ensured cross\-browser compatibility and responsive design for multiple devices\.

Junior Data Analyst at Accenture, Jan 2019 \- Oct 2020 · 1 yr 10 mos, Developed an automated log file processing system using Python to efficiently scan, parse, and analyze large volumes of system and application logs\. Utilized libraries such as Pandas, re, and built\-in file handling to extract relevant information like error logs, timestamps, and system events\. Implemented pattern matching using regular expressions to identify critical issues, anomalies, and failure patterns\. Automated data cleaning and transformation to generate structured datasets for reporting and analysis\. Integrated alert mechanisms \(email/log reports\) for real\-time error notifications and scheduled scripts for periodic execution\. Improved monitoring efficiency by reducing manual log analysis effort by 60%\.

## Education

Bachelor of Engineering, Computer Technology/Computer Systems Technology, Manoharbhai Engineering and Technical Institute

[View the original profile](https://tal.club/meet/manish-sonwane)

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