Brijesh Fadadu

Data Scientist

India3 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Built predictive models improving risk assessment accuracy by 35%.
Developed chatbots reducing customer response time by 40%.
Created dashboards leading to a 20% revenue increase.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and AI-driven solutions.

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Skills

Core Skills

Machine LearningData ScienceStatistical Data AnalysisData AnalysisData VisualizationArtificial Intelligence

Other Skills

A/B TestingAWS EC2AWS LambdaAgile EnvironmentAgile MethodologiesAmazon S3Amazon Web Services (AWS)Analytical SkillsApache AirflowApache SparkApache Spark MLBig DataBig Data AnalyticsChatbot DevelopmentComputer Science

About

Passionate Data Scientist with 2+ years of experience in building data-driven solutions. Proficient in Python, SQL, etc., with a strong focus on data manipulation, statistical analysis, and creating interactive dashboards to monitor and forecast key metrics. Skilled in applying machine learning techniques such as regression and classification to extract insights and optimize business processes. Experienced in collaborating with cross-functional teams in Agile environments, consistently delivering results that align technical solutions with strategic business goals.

Experience

3 yrs 1 mo

Total Experience

2 yrs 4 mos

Average Tenure

9 mos

Current Experience

Dun & bradstreet

Analyst 2, Data Science

Sep 2025 – Present · 9 mos · Chennai, Tamil Nadu, India · Hybrid

PythonSQLMachine LearningStatistical Data AnalysisData VisualizationData Science

Creyox technologies

Data Scientist

Apr 2023 – Aug 2025 · 2 yrs 4 mos · Rajkot, Gujarat, India · On-site

Built a predictive financial risk model using the Random Forest algorithm to analyze credit risk and detect potential loan defaults, improving risk assessment accuracy by 35%
Enhanced procurement efficiency by boosting decision-making by 30% using machine learning to evaluate supplier performance on delivery times, quality, and costs.
Led product performance analysis by designing A/B testing frameworks and analyzing user engagement
metrics, helping product teams optimize features and improve conversion rates by 15%.
Optimized sales analytics by creating complex SQL queries to analyze customer behavior and transaction patterns, and developed Power BI dashboards to visualize KPIs, resulting in a 20% revenue increase.
Automated customer support by developing a chatbot using NLP techniques, reducing response time by 40% and handling 70% of routine queries, improving overall customer satisfaction.
Developed an NLP-based sentiment analysis model to assess customer feedback, helping the marketing team refine strategies and improve customer engagement by 25%.