Pritish Singla

Data Scientist

Gurugram, Haryana, India7 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

7+ years of experience in data science and machine learning.
Expertise in anomaly detection and fraud modeling.
Proven track record in building scalable data products.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Travel Tech industries.

Contact

Skills

Core Skills

Machine LearningData ScienceNatural Language Processing (nlp)

Other Skills

PythonSQLApache SparkScalaA/B TestingTime Series ForecastingPandas (Software)StatisticsProgrammingAnalyticsBusiness AnalysisEconomicsShell ScriptingDeep LearningStatistical Modeling

About

7+ years of experience driving business impact through ML, A/B testing, and analytics across fast-paced tech companies like Agoda, Urban Company, and Capital One. My work spans ranking optimisation, anomaly detection, real-time monitoring, fraud detection and model experimentation; often partnering with cross-functional teams to build scalable data products

Experience

7 yrs 11 mos

Total Experience

2 yrs 7 mos

Average Tenure

4 yrs 10 mos

Current Experience

Agoda

Data Scientist

Aug 2021 – Present · 4 yrs 10 mos · Gurugram, Haryana, India · Hybrid

Hotel Ranking (Personalised Recommendation)
Anomaly Detection
Item Deduplication

PythonSQLMachine LearningData Science

Urban company

Data Scientist

Apr 2020 – Aug 2021 · 1 yr 4 mos · Gurugram, Haryana, India · Remote

Fraud Modeling
Sentiment Analysis
LTV analysis
Dashboarding and process automation

PythonMachine LearningData Science

Capital one

2 roles

Data Scientist

Jun 2018 – Mar 2020 · 1 yr 9 mos · Bengaluru Area, India · On-site

Leveraged BERT and customized it on the in-house corpus of customer call transcripts to -
Identify long-term trends in the customer behavior (ii) Identify negative experiences to capture customer and legal pain points
Built Word Embeddings and modules for Named Entity Recognition, Sentiment Analysis
and Information Retrieval, on call transcripts, that were used in future projects
Leveraged machine learning to build a supervised classification model to identify call reasons using call transcripts in Python, to help drive analytics for the Auto Navigator

PythonNatural Language Processing (NLP)Machine Learning

Intern

May 2017 – Jul 2017 · 2 mos · Bengaluru, Karnataka, India

Regulatory Risk Prediction
Built a risk model to predict and mitigate regulatory risk in the US credit card business
Worked on highly skewed classification problems with event rates below 1%
Developed LOGIT, Naive Bayes classifier, SVM, Trees, and, NN models in Python
Awarded a Pre-Placement Offer to work full-time

Startupflux

Intern

Dec 2016 – Dec 2016 · 0 mo · Noida, Uttar Pradesh, India

Built an extensive list of 80+ business models along with their description and relevant use cases.
Created a template for identification and bucketing of business model(s) of a company.
Created a model for suitable Customer Segmentation to effectively identify the targeted customer segments of a company.
Studied and learned about the upcoming financial technology or the 'FinTech' space. I identified the various domains in the world of fintech and the major upcoming players in the market.