Dishin Goyani

Data Scientist

Surat, Gujarat, India9 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing advanced ML algorithms for finance.
Created a comprehensive backtesting framework for trading strategies.
Skilled in transforming complex data into actionable insights.

Stackforce AI infers this person is a Fintech Data Scientist with expertise in machine learning and financial analytics.

Contact

Skills

Core Skills

Machine LearningData ScienceData Visualization

Other Skills

Algorithmic TradingAlgorithmsArtificial Intelligence (AI)Backtesting FrameworkCC#Capital MarketsCluster AnalysisClustering AlgorithmsComputer VisionConvolutional Neural NetworkCrystal ReportsDLIBData AnalysisData Analytics

About

I am a seasoned Data Scientist with a strong background in finance and a passion for cutting-edge technologies in the field of #datascience, #machinelearning, and #algorithms. With a Master of Computer Application degree from Gujarat Technical University, I currently work at Proseon Technologies (investarindia.com), focusing on solving real-world challenges through data-driven solutions. In my current role, I specialize in developing and implementing advanced technical analysis pattern detection algorithms for stock market data. Over the years, I have successfully crafted multiple algorithms that automatically identify intricate patterns, contributing significantly to the company's analytics capabilities. I've significantly enhanced our analytical capabilities by developing a comprehensive backtesting framework that supports data-informed decisions. My expertise extends beyond pattern detection to creating intuitive Streamlit dashboards that transform complex data into actionable insights. These innovations have improved our team's efficiency and directly contributed to more effective strategic decision-making processes.

Experience

9 yrs 3 mos

Total Experience

3 yrs 1 mo

Average Tenure

7 yrs 9 mos

Current Experience

Proseon technologies pvt. ltd.

3 roles

Sr. Data scientist

Promoted

Jul 2021 – Present · 4 yrs 11 mos

Engineered advanced ML clustering algorithms using fuzzy logic in Python and C#, improving pattern
detection accuracy by 30%.
Developed comprehensive backtesting framework supporting multiple timeframes, reducing strategy validation time.
Built automated signal generation system with async processing, improving signal delivery speed.
Designed and deployed interactive Backtest Analyzer (Streamlit) used by trading team for backtest P&L analysis, performance metrics and correlation analysis.
Mentored a team of junior data scientists from training through successful production deployments.

Machine LearningPythonC#Backtesting FrameworkStreamlitData Science

Data Scientist

Promoted

Jul 2019 – Jun 2021 · 1 yr 11 mos

Implemented multiple clustering algorithms (K-means, DBSCAN, hierarchical) for market
segmentation and pattern identification.
Built and optimized models for detecting technical patterns with high accuracy from historical market
data.
Applied statistical methods to extract actionable insights from large financial datasets.
Collaborated with product teams to enhance customer offerings through data-driven features.

Clustering AlgorithmsStatistical MethodsData AnalysisData ScienceMachine Learning

Jr. Data Scientist

Jul 2018 – Jun 2019 · 11 mos

Developed algorithms combining fuzzy logic with statistical methods for improved anomaly detection.
Created and maintained data pipelines for processing financial market data.
Conducted exploratory data analysis to identify patterns in market behavior.
Supported product innovation through custom algorithm development.

Fuzzy LogicData PipelinesExploratory Data AnalysisData Science

Itm universe - vadodara

Internship

Dec 2017 – Mar 2018 · 3 mos · Vadodara Area, India

As an Intern at ITM UNIVERSE - Vadodara, under the guidance of Assistant Professor Kushal Patel, I was part of a five-student team that developed a Proof of Concept (POC) for an automated attendance system using face recognition technology. This involved implementing a Convolutional Neural Network (ConvNet) for identifying individuals from a student dataset.

Learnbeginner.com

Blogger

Jan 2017 – Apr 2018 · 1 yr 3 mos · India

The portal features well-thought-out articles on computer science, programming, mathematics, data science, and tech news.

Webking solution pvt. ltd.

C# Full Stack Developer as Trainee

Mar 2016 – Jun 2016 · 3 mos · Surat Area, India

As part of my final semester undergraduate studies, I interned at Webkings Solutions, where I worked on the implementation of a Pharmaceutical ERP System (end-to-end).