Mausumi Mohanta

Operations Associate

Gurugram, Haryana, India9 yrs 2 mos experience
Most Likely To Switch

Key Highlights

  • Expert in data engineering and analytics.
  • Proven ability to align business and technology teams.
  • Passionate about improving complex systems with data.
Stackforce AI infers this person is a Data & Analytics Professional specializing in Aviation and E-commerce.

Contact

Skills

Core Skills

Business AnalyticsTechnical OperationsBusiness Intelligence (bi)Data AnalysisData Analytics

Other Skills

AWS GlueAWS Identity and Access Management (AWS IAM)AWS LambdaAdobe PhotoshopAerodynamicsAmazon AthenaAmazon EC2Amazon QuickSightAmazon RedshiftAmazon Relational Database Service (RDS)Amazon S3Analytical SkillsApache SparkBusiness AnalysisBusiness Process Improvement

About

Data & Analytics Professional | Aviation TechOps | Strategy & Enablement I help organizations turn complex data into actionable insights that improve planning, efficiency, and execution. Currently at United Airlines Technical Operations, I focus on building data foundations and forecasting methods that support day-of-operations planning, reduce workload deferrals, and strengthen reliability across stations. Previously at Amazon, Gartner, and EXL, I worked on business intelligence, customer analytics, and behavioral insights — experiences that sharpened my ability to connect data, technology, and business goals. From designing pipelines and dashboards to creating adoption strategies, I’ve consistently worked at the intersection of analytics, operations, and decision-making. What I bring: Expertise in data engineering & analytics (PySpark, Databricks, Redshift, AWS, SQL) Experience spanning aviation, e-commerce, strategy, and healthcare analytics A proven ability to align business, technology, and operations teams to create shared data landscapes A focus on storytelling with data to build trust, adoption, and measurable impact I’m passionate about using data to make complex systems run smarter — whether that’s improving aircraft reliability, streamlining day-of-ops execution, or helping teams see problems with greater clarity. Always open to conversations on aviation analytics, data strategy, and building scalable data product

Experience

United airlines

2 roles

Manager

Oct 2025Present · 5 mos

Senior Analyst

Jun 2023Oct 2025 · 2 yrs 4 mos

  • Technical Operations Data & Analytics
  • Strengthened operational planning: Developed labor forecasting methods that help stations prepare for unplanned maintenance, reducing last-minute replanning and cutting down on workload deferrals.
  • Delivered usable data for decision-making: Translated complex maintenance and operations data into reliable datasets that support quicker, more confident decisions by engineers, analysts, and leaders.
  • Improved efficiency through collaboration: Worked with Operations, Analytics, Digital Technology, and Data Engineering teams to streamline data pipelines, ensuring insights are available faster and with greater accuracy.
  • Enhanced reliability and safety visibility: Built tools to monitor aircraft health and maintenance events, enabling earlier interventions and proactive planning.
  • Encouraged adoption across Operations: As part of Technical Operations, collaborated with other Ops departments to drive active use of new data tools for planning, reporting, and daily execution.
  • Aligned business and technology teams: Helped create stronger synergy between Digital Technology, Data Engineering, and Analytics, ensuring a shared data foundation that improves accuracy and availability of information across the organization.
  • Communicated impact clearly: Prepared strategies and presentations that connected data initiatives to business goals, raising leadership confidence in data-driven operations.
Business AnalyticsTechnical OperationsProject ManagementOntology EngineeringTechnology Enabled Business TransformationDatabricks Products+3

Amazon

2 roles

Business Intelligence Engineer

Sep 2021Mar 2023 · 1 yr 6 mos

  • IN Payments, Consumer Behavior Analytics
  • Program & budget decisions: Built KPIs and dashboards for Amazon Pay to evaluate program performance and guide annual budget choices.
  • Revenue impact you can track: Measured how 50+ key customer actions affected downstream revenue and used them as health KPIs for the program.
  • Cleaner rewards, fewer bad actors: Flagged and helped remove abusive reward behavior, improving program integrity.
  • More repeat customers: Found the drivers of repeat engagement with Amazon Pay and turned them into practical levers for growth.
  • Data to decisions, end-to-end: Built the pipeline from data lake to dashboards (S3, Glue, Redshift → QuickSight) to follow click-through and conversion, including “new-to-Amazon” journeys.
Amazon S3Amazon EC2Data AnalysisAmazon RedshiftAWS GlueAmazon QuickSight+9

Business Intelligence Engineer

Sep 2020Sep 2021 · 1 yr

  • Ops you can plan around: Deployed hourly throughput goal predictions on AWS (SageMaker, Lambda, CloudWatch) so compliance teams could plan workload and track performance.
  • Shared metrics for many teams: Shipped ETL jobs and usage/performance views used by multiple ops teams for monitoring and decisions.
Data Analytics

Gartner

Svcs Business Analyst

Nov 2019Sep 2020 · 10 mos · Gurgaon, India

  • Retention insights: Analyzed product usage patterns to spot churn risks and improve retention across offerings.
  • Onboarding strategy: Built executive-level dashboards for operational analysis that informed onboarding plans.
  • Goals alignment: Enabled associates' goals setting & calibration to improve customer engagement
Analytical SkillsDAXData AnalyticsMicrosoft Power BIPySpark

Exl

2 roles

Lead Assistant Manager (Consultant II)

Promoted

Aug 2018Oct 2019 · 1 yr 2 mos · Noida Area, India

  • Improved member onboarding for scale: Launched a welcome campaign for ~2.6M subscribers to boost digital engagement, raise NPS, and drive medical cost savings. Used test–control design and KPI analysis to measure effectiveness.
  • Identified high-risk populations: Applied clustering (K-means) across demographics, claims, and interaction data to separate high-risk or disengaged members from healthier populations, enabling more targeted outreach.
  • Enhanced maternity care journeys: Analyzed the end-to-end maternity experience for 168K members, uncovering friction points in claims, appeals, and call data. Designed interventions that reduced inbound calls and denial rates, improving overall member satisfaction.
  • Quantified financial impact: Estimated $270K in savings from timely issue resolution and $4M in avoidable medical costs by reducing preventable C-sections and unnecessary ultrasounds. Models captured 76% of at-risk C-sections for early action.
  • Leadership & recognition: Led a team of 3 analysts, handled daily client interactions, and contributed to capability building and hiring. Recognized as a Top Performer for delivering strong individual and team outcomes.
Analytical SkillsData AnalyticsApache Spark

Consultant

Aug 2017Jul 2018 · 11 mos · Noida Area, India

  • Supported breast cancer treatment journeys: Analyzed treatment and call data to identify high-frequency callers with high appeal rates, costing ~$6.4M annually. Built a predictive model (Elastic Net) that achieved 0.87 ROC-AUC, enabling proactive engagement.
  • Measured impact of Medicare campaigns: Evaluated 7 onboarding campaigns to see how well they engaged members, improved decision-making, and influenced health behavior. Used statistical lift tests to validate positive behavior change against control groups.
Analytical SkillsApache SparkData Analytics

Siemens healthineers

Developer Intern

May 2016Jul 2016 · 2 mos · Bengaluru Area, India

  • Implemented a ML algorithm solution in Python for Record Linkage/Entity Resolution in order for patient Data Reconciliation in Cardiology department using Siemens Syngo dynamics’ patient reports.
  • Reviewed papers on Record Linkage / Entity Resolution, Locality Sensitive Hashing (LSH) ,and Personalized LSH.
  • Modified Shingle generation to handle the spelling mistakes and the aliases based on syllables and phonemes.
  • Final algorithm incorporated a modified version of Personalized Locality Sensitive Hashing (LSH), an exact Near Neighbor Search algorithm for high dimensional spaces, Min-Hashing and Min-hash signatures to reduce data dimensionality.

Indian institute of management, lucknow

Remote Marketing Internship (Mentor: Prof. Sameer Mathur, Marketing Professor,IIML)

May 2015Jun 2015 · 1 mo · Lucknow Area, India

  • Diligently studied global marketing concepts - Pricing, Promotion, Sales, Marketing mix, Integrated Communications, Brand equity.
  • Enhanced the art of presentation making by critically analysing TEDx Talks by Jesse Desjardins, Garr Reynolds and Nancy Duarte.
  • Analysed management articles and business cases in the Harvard Business Review and applied the insights to the Indian market.

Hall executive committee, hall-6 , iit kanpur

3 roles

Executive Secretary, Films And Media Council

Nov 2014Apr 2015 · 5 mos · IIT Kanpur

  • Coordinated with a team of 10 executives to oversaw the functioning of hall activities with budget of INR 5 lakhs.
  • Represented & boosted participation of newly formed pool of 600+ girl students as Pool Captain in Spectrum’16.
  • Ensured participation among residents from different batches in inter hall cultural & technical competitions.
  • Organized workshops, lectures & innovative competitions to promote journalism, video/film making, photography, animation & design.
  • Led a contingent of over 600 students in Spectrum’15 as Hall Captain with over 50 competitions.

Senior Secretary,Film Club

Jul 2014Apr 2015 · 9 mos · IIT Kanpur

  • Worked along with a team of 20 secretaries to conduct club activities ,lectures and workshops for college community.
  • Created short videos of various genre and type using Adobe Premier Pro and After Effects.

Senior Executive, Media And Publicity Cell

Apr 2014Oct 2014 · 6 mos · IIT Kanpur

  • Coordinated with a 3-tier team of 40 members responsible for promotional activities of annual cultural festival.
  • Worked as a group of 10 executives to handle publicity and media coverage-related activities during the festival.
  • Compiled database of 100 plus media companies to seek sponsorship for the festival.
  • Conceptualized & designed media adds for festival-related information dissemination to various stakeholders.
  • Contacted companies with regular follow-ups, to convert association with media houses like Business India, Dainik Jagran.
  • Aided & executed publicity campaigns to increase social media reach by more than 200% over a 6 month period.
  • Compiled reports for newspapers like TOI and facilitated hospitality of media persons throughout the festival.

Education

Indian Institute of Technology, Kanpur

Bachelor’s Degree — Aeronautics/Aviation/Aerospace Science and Technology

Jan 2013Jan 2017

Delhi Public School, Rourkela

High School — CBSE

Jan 2011Jan 2013

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