Mohd Faraaz

Data Scientist

Noida, Uttar Pradesh, India13 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Over 10 years of experience in Data Analytics.
Developed AI-driven solutions for the healthcare industry.
Successfully built job recommendation models for 10M users.

Stackforce AI infers this person is a Data Science expert specializing in Healthcare and SaaS solutions.

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Skills

Core Skills

PharmacovigilanceMachine LearningData Analytics

Other Skills

Logistic RegressionArtificial IntelligenceNLPHugging Face transformersUniversal Sentence EncodersRandom Forest ModelsBusiness IntelligencePythonA/B TestingRNeural NetworksSQLGenerative AI ToolsHealthcareLife Sciences

About

• Working for Genpact Digital, as Manager-Data Science • I have been in tandem with the risk-takers, the collaborators, the inspired and the inspirational; the people who are brave enough to work at the cutting edge and create solutions that will enrich and improve the lives of people across the globe. • Currently building a product for Pharmacovigilance domain using disruptive Machine Learning techniques. • Previously, at Naukri.com, I have build Job Recommendation Models to improve the relevance of jobs that are recommended to ~10M job seekers. • 10+ years of experience in Data Analytics • Bachelors of Technology (Computer Science and Engineering), M.B.A. (Marketing) • Data curation: experience working with unstructured data, and familiar with techniques for data cleaning • Data science programming: track record in using data-science programming language and to yield insight from diverse data sources (e.g. Python) • Visualization: fluent in delivering usable static and interactive visualizations to communicate insights • Statistics & Machine learning: sound understanding and applications experience • Active participation in extramural activities • Team player

Experience

13 yrs 4 mos

Total Experience

4 yrs 5 mos

Average Tenure

7 yrs 8 mos

Current Experience

Genpact

Data Scientist

Oct 2018 – Present · 7 yrs 8 mos · Noida, Uttar Pradesh, India · Hybrid

Built a cloud-based SaaS platform powered by applied Artificial Intelligence, NLP to extract unstructured document into structured analytics ready data to FDA resulting in reduced case processor man hours, reduced labor costs & provide 360 views of case.
This SaaS product enables leading life sciences companies to transform pharmacovigilance and patient safety through AI. It was incubated inside of Genpact to build out a modular, validated suite of industry-leading Artificial Intelligence SaaS modules developed specifically to solve the myriad challenges in Pharmacovigilance (PV). PVAI products and solutions enable life sciences companies to bring the power of cutting edge AI seamlessly into safety operations across the globe. The mission is to become the industry standard end-to-end SaaS solution for Pharmacovigilance.
Hugging Face transformers, Universal Sentence Encoders, SMOTE, Random Forest Models.

PharmacovigilanceLogistic RegressionArtificial IntelligenceNLPData AnalyticsMachine Learning

Info edge india ltd

Senior Data Analyst

Sep 2015 – Sep 2018 · 3 yrs · Noida, Uttar Pradesh, India

o Build, validate, test, and deploy machine learning models (e.g. predictive, forecasting, clustering) using proven and experimental techniques.
o Define hypotheses, develop and execute necessary tests, experiments, and analysis to prove or disprove them.
o Develop creative algorithms by employing machine learning, and data mining techniques.
o Collaborate with cross-functional groups such as Engineering, Sales, and Legal to increase automation, update policies, fix product loopholes, and provide a better online experience for our users.
o Job Alert Recommendation for Job seekers using R, Python, A/B Testing, LSI, Neural Networks.
o Behavioural Analysis of Customer towards Channel usage, Spends.
o Knowledge on Regression, Clustering, Decision Trees, Neural Networks, R, SAS, Python.
o Design, Develop and implement an efficient process for reporting (ie. daily, weekly and monthly report, Report hierarchy level, Campaign Channel, Source Channel, Product wise).
o Provide insightful information for decision making especially for designing & developing accurate and successful campaigns, which reduce cost & increase sales & revenue.
o Design, Develop & implement Dashboards for Leads and Campaigns.

Business IntelligenceLogistic RegressionMachine LearningPythonA/B TestingData Analytics

Opera solutions

Senior Research & Data Analyst

Dec 2012 – Aug 2015 · 2 yrs 8 mos · Noida, Uttar Pradesh, India

o Exposure to Analytics Project Life Cycle
 Business Problem Definition and Understanding
 Data Exploration
 Data Preparation
 Model Building
 Validation
o Implement Predictive Models for Cross Sell, Acquisition, Anti Attrition and Behavioural campaigns.
o Design, develop and implement highly efficient sales Propensity / Predictive models and continually refine models to achieve maximum conversions and revenues.
o Drive the development of testing methodologies to improve customer and offer targeting, proposition development and model predictability.
o Identify opportunities to continually optimize the targeting and commercial performance of campaigns and offers.
o Web Crawling