Priya Adhwaria

Data Scientist

Mumbai, Maharashtra, India4 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

3+ years in Model Development and Validation
Expertise in AI/ML and GenAI models
Top 5% in Analytics Vidhya Data Science Hackathon

Stackforce AI infers this person is a Data Scientist with expertise in AI/ML and financial analytics.

Contact

priyaadhwaria4@gmail.com LinkedIn

Skills

Core Skills

Model ValidationAi/mlData AnalysisMachine Learning

Other Skills

Advanced ExcelAnacondaAnalyticsApplied MathematicsArtificial Intelligence (AI)Artificial Neural NetworksAzureChartCommunicationCredit Risk Model DocumentationCritical ThinkingData AnalyticsData CleaningData InterpretationData Modeling

About

Experienced professional with 3+ years in Model Development and Model Validation. Masters of Applied Mathematics, having good knowledge of Statistics. Have expertise in AI/ ML and GenAI including ML and LLM models. Involved in end to end model development of credit risk models. Have good knowledge of Python, SQL, Tableau, PowerBi, Azure and Excel. Well versed in Data Analysis, Data Wrangling, Data visualization and Data Modelling. Designed and developed several data science projects on Kaggle and Github. Scored top 5% in Analytics Vidhya Data Science Hackathon and worked on several Github Data Science projects also. You can check my Github Projects on below link- https://github.com/priyaadhwaria1/Data_Science_Projects For queries and collaboration, please feel free to connect on- priya.adhwaria1@gmail.com

Experience

4 yrs 4 mos

Total Experience

2 yrs 2 mos

Average Tenure

3 yrs 10 mos

Current Experience

Citi

Data Scientist

Aug 2022 – Present · 3 yrs 10 mos · Mumbai, Maharashtra, India · Hybrid

Individual Contributor to perform validation of statistical models and ML models, which includes Logistic Regression, Decision Tree, Random Forest and NLP models.
Performed analysis to detect root cause for breach in model performance.
Worked in Risk, Fraud, Customer Analytics (Decision Management) and AI/ML teams.
Performed replication of performance metrics for scoring models including KS, ROB, MAPE, PDO, PSI and CSI.
Replicated model performance for AI/ML models which includes Confusion Metrics based metrics like Precession, Recall, F1 Score and Accuracy.

Logistic RegressionDecision TreeRandom ForestNLPModel ValidationStatistical Analysis+1

Voiceback analytics pvt. ltd

Data Scientist

Feb 2022 – Aug 2022 · 6 mos · Mumbai, Maharashtra, India

Individual Contributor to develop XG Boost model to predict performance of employees in a firm.
Performed EDA, Data Cleaning and Data Interpretation for FMCG and Banking data.
Along with Logistic Regression, trained XG Boost, Decision Tree and Random Forest models using Python.
Performed Data Analysis by using SQL.
Used Azure Cloud to share documents with Clients.

XG BoostEDAData CleaningData InterpretationLogistic RegressionDecision Tree+5