Manish Raj

Experience

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  Magna Infotech - A Quess Company

  Aug 2011 - Jul 2012

  Business Analyst

  Professional Responsibilities:• Developed and published monthly dashboards tailored for higher and middle-level management.• Ensured data accuracy and credibility to facilitate strategic decision-making processes.• Collaborated closely with business stakeholders to design and implement performance management solutions addressing key business challenges.

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  BNY

  Aug 2012 - Jul 2016

  Analyst

  Professional Expertise:• Demonstrated proficiency in applying advanced analytics to diverse business scenarios and synthesizing complex data, alongside expertise in data architecture supporting analytics.• Proficient in data reporting utilizing Tableau and Crystal Reports.• Skilled in testing and validating statistical hypotheses, and proficient in running SQL queries

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  HSBC

  Jul 2016 - Jan 2018

  Consultant Specialist

  Professional Responsibilities:• Collaborating closely with business and engineering teams to promote statistical best practices in experimental design, data capture, and data analysis.• Engaging in Data Preprocessing Techniques to prepare data for effective utilization in creating Machine Learning Models.• Developing regression and classification algorithms using various Sklearn libraries.• Drafting Machine Learning Models to conduct A/B testing of content for informed product-related decisions. Show less

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  Zensar Technologies

  Jan 2018 - Jul 2019

  Data Scientist

  • Led the development, deployment, monitoring, and management of Machine Learning models.• Identified valuable input features and implemented methods for calculating them through meticulous feature engineering.• Conducted thorough investigations, cleaning, analysis, and preparation of new data sources for use in advanced analysis or as inputs into model features.• Developed supervised machine learning models including logistic regression, decision trees, and random forests.• Constructed unsupervised machine learning models such as k-means clustering and hierarchical clustering.• Utilized data visualization techniques for comprehensive data analysis and presentation.• Fine-tuned model performance in production environments using adaptive and incremental machine learning techniques. Show less

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  Accenture

  Jul 2019 - Jul 2022

  Data Scientist

  Professional Accomplishments:• Led product management efforts for multiple assets, focusing on building scalable solutions to meet diverse client needs.• Collaborated closely with stakeholders to define vision and strategy, ensuring alignment with long-term business objectives in Data Science initiatives.• Defined, built, and analyzed metrics to measure product success, working with the team to establish key performance indicators (KPIs) and monitor progress.• Successfully implemented ML architectures and Azure Cloud solutions for prominent retail organizations, enhancing data analytics capabilities and facilitating data-driven decision-making processes.Accomplished Projects: ● NPS ScorerKey Achievement Improvement in CSAT score from 54% to 85%Roles & Responsibilities ○ Lead the collaborative planning process, which includes prioritizing work as per capacityand capability of team ○ Worked with stakeholders to get requirement and refine them into feature & user story ○ Maintain and report KPI metric associated with Business Operational efficiency ○ Tracking delivery status, periodic reporting, escalations, Risk resolution ○ Delivered product demos for new features ● Alert SuppressionKey Achievement 70% reduction in False Alerts.Roles & Responsibilities ○ Lead the collaborative planning process, which includes prioritizing work as per capacityand capability of team ○ Worked with stakeholders to get requirement and refine them into feature & user story ○ Created KNN clustering and KDE algorithm to find anomalies ○ Deployed in Azure using WebApp service. ○ Maintain and report KPI metric associated with Business Operational efficiency ○ Tracking delivery status, periodic reporting, escalations, Risk resolution ○ Delivered product demos for new features Show less

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  EClerx

  Jun 2022 - now

  Associate Program Head - Data Science

  Strategic Leadership:• Developed and implemented strategic initiatives for the application of AI, aimed at automating business processes and optimizing service delivery.• Oversaw the design and deployment of automation tools to streamline operations and boost productivity across diverse business functions.• Orchestrated a multidisciplinary team comprising data scientists, engineers, and analysts, successfully executing projects for leading retail and marketing enterprises.• Cultivated a collaborative and innovative work environment, facilitating data-driven decision-making and fostering the exchange of ideas, resulting in impactful solutions and enhanced business outcomes.• Provided strategic support to the sales team, contributing to solutioning and deal closures with prominent retail and marketing clients by aligning our data science and analytics offerings with their specific business objectives.• Pioneered the establishment of governance and compliance frameworks for cloud platforms, ensuring stringent data security and privacy standards in accordance with industry regulations, particularly within the retail domain.Client Delivery Leadership:• Spearheaded the identification and deployment of NLP architectures to streamline the transformation of data exchanged between business applications.• Oversaw the development of metrics and implemented monitoring systems to evaluate the performance and cost-effectiveness of AI solutions.• Provided guidance and direction for the integration of AI infrastructure in collaboration with architecture and development teams, leveraging MLOps principles to ensure smooth production deployment of AI solutions.• Maintained accountability for risk management, quality assurance, and profitability on engagements, collaborating with client leads and onshore delivery partners.• Ensured clear and timely communication across program stakeholders to maintain alignment on weekly progress. Show less