Mantripat Singh

Data Scientist

Bengaluru, Karnataka, India8 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

3 years of experience in analytics across multiple industries.
Led a 15-member team in data-driven projects.
Strong communication skills driven by empathy.

Stackforce AI infers this person is a Data Science and Analytics professional with expertise in Healthcare, Manufacturing, and eCommerce.

Contact

Skills

Core Skills

Data ScienceBusiness Analytics

Other Skills

Amazon Web Services (AWS)Data AnalysisData AnalyticsData VisualizationEvent ManagementGitGoogle AnalyticsMachine LearningMicrosoft ExcelMicrosoft OfficeMicrosoft Power BIMicrosoft WordMySQLProduct AnalysisProduct Road Mapping

About

I am a seasoned analytics professional with 3 years of experience in solving complex business problems across Healthcare, CPG, Aerospace & Manufacturing industries in data-driven decision making. Having contributed to every phase of a problem-solving from scoping, solution design to implementation, I am aware of the challenges and opportunities associated with data-driven projects. Working as a solo contributor & leading a 15-member team, I understand the nuances of the analytics project. I aim to leverage my analytical and people skills to bridge gaps & extract insights within complex data environments driving informed decision making. My Strengths include strong communication driven by empathy and emotional intelligence Love to interact with new people and learn from their experience.

Experience

Atlassian

2 roles

Senior Data Scientist

Promoted

Oct 2022 – Present · 3 yrs 5 mos

Data Scientist

Nov 2020 – Sep 2022 · 1 yr 10 mos

Mu sigma inc.

2 roles

Decision Scientist

Promoted

Sep 2019 – Nov 2020 · 1 yr 2 mos

[Production Optimization] - Helped the world's largest premium aluminum producer in identifying the root causes, trends & patterns hidden in the data driving actionable outcomes to enhance aluminum production
● Enabled pro-active decision making for managers by building a temperature soft sensor using ML models reducing the measurement frequency from 48hr to 1hr
● Helped the line managers in taking informed decisions for potline by creating a Analytics Dashboard to monitor and review the performance of the pots
[Performance Reporting] - Worked with the eCommerce team to set up a performance reporting framework to be consumed by 5+ business units to track the performance of SKU’s
[Anomaly Detection] - Anomaly Detection framework for a leading airline manufacturer
● Developed a statistic-based anomaly detection framework using aircraft sensor data bringing down the time for data quality check per flight to ~5 minutes
● Created detailed project documentation covering the entire project life cycle which led to highly reproducible work & appreciation from business partners

Machine LearningData AnalysisData VisualizationStatistical ModelingSAS ProgrammingData Science+1

Trainee Decision Scientist

Aug 2017 – Sep 2019 · 2 yrs 1 mo

[Employee Mobile App] Helped the Digital Products team for an Emirati Conglomerate in improving the app utilization that serves as a one-stop-shop for the company employees to engage with their co-workers.
● Performed a detailed analysis using the app consumption data generating strategic insights for the clients which led to an increase in daily active user base by 40%
● Co-ordinated with the HC team in setting up an automated ETL pipeline & DQM based reporting process to provide better monitoring of data issues
● Successfully delivered (30+) reports & Ad hocs (10+) by deep diving into customer behavior & app usage metrics
[Net Promoter Score] - Worked on revamping the existing models to classify the insured members as promoters/detractors for the world's largest healthcare company
● Segmented 3.7 million customer base into promoters/detractors to help the marketing team to improve Net Promoter Score
● Identified the broader themes that drive member experience and membership retention across promoters & detractors

Data AnalysisData VisualizationProject ManagementBusiness Analytics