Samuel Joshua V

Samuel Joshua V

Open to

Chennai · Coimbatore

Work style

hybrid, remote, onsite

Contact details — on requestProof of Work — on request

Experience

Mako IT Lab

Data Analyst

Mako IT Lab · Jul 2026 – Present

Not yet confirmed
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Data Analyst

LatentView Analytics · Mar 2024 – Jun 2026

Not yet confirmed
  • Analyzing business data using SQL, python and BI tools to uncover insights and trends and translating business problems into actionable data-driven solutions.
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Data Analyst

LatentView Analytics - Client: Intuit · Nov 2025 – Mar 2026

Not yet confirmed
  • Built data tables via Superglue ETL pipeline stored in Amazon Redshift, and connected Redshift as the data source for Tableau dashboards tracking login frequency, feature engagement, and user behavior across 5+ feature categories
  • Enhanced Time-to-Post dashboard with country-level and product-type segmentation, delivering granular trend analysis that reduced transaction posting delays by 20%, using root cause analysis to improve accuracy.
  • Performed exploratory data analysis on user interaction datasets to surface actionable insights, directly influencing product roadmap prioritization and feature enhancement decisions
  • Built Add-On and Cohort Retention in Tableau to track subscription, cancels and resubscriptions and retention post signup; built an Access Point dashboard in Qlik Sense for user engagement by entry channel.
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Data Analyst

LatentView Analytics - Internal: AI-Powered Resume Intelligence System · Oct 2025 – Nov 2025

Not yet confirmed
  • Developed an Al-powered Resume Intelligence System using Python, Streamlit, and Hugging Face LLMs to analyze resumes against job descriptions with semantic skill matching and ATS-style scoring
  • Implemented dynamic skill extraction, resume-job similarity analysis, and Al-generated interview recommendations, reducing manual resume screening effort and improving candidate evaluation efficiency
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Data Analyst

LatentView Analytics - Client: Citi Bank · Feb 2025 – Sep 2025

Not yet confirmed
  • Automated a monthly interchange report that previously required 2 weeks of manual effort, reducing turnaround time by 85% and eliminating manual data compilation for business users
  • Engineered silver-layer tables using medallion architecture, joining 10+ raw transaction sources into structured, query-optimized datasets for consistent metric calculations
  • Delivered automated, ready-to-download reporting outputs enabling stakeholders to access interchange and merchant performance insights on demand, improving client response time by 30%
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Data Analyst

LatentView Analytics - Operations 360 · Sep 2024 – Mar 2025

Not yet confirmed
  • Built a centralized delivery governance dashboard tracking 100% of activities across the financial entity, replacing 5+ fragmented manual tracking spreadsheets
  • Developed a Resource Management dashboard providing real-time visibility into resource allocation, utilization rates, and capacity planning for project leadership
  • Standardized 15+ delivery KPIs including throughput, efficiency, and success rates; reduced manual reporting effort by 50% and improved on-time delivery tracking accuracy by 30%
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Data Analyst - Capstone Project

LatentView Analytics · Apr 2024 – May 2024

Not yet confirmed
  • Built a scalable regression model to predict maximum loan eligibility, achieving R² of 0.93 and MSE of 0.08 through feature engineering, feature selection, and hyperparameter tuning
  • Benchmarked 5+ regression algorithms (Linear, Ridge, Lasso, Random Forest, Gradient Boosting) and selected the optimal model, reducing loan assessment turnaround by 40%
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Data Research Analyst

Quantium · Jul 2023 – Dec 2023

Not yet confirmed
  • Performed EDA and analysis on large scale retail sales data to identify performance drivers and growth opportunities
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Member

SIG @Blockchain · Feb 2022 – Sep 2023

Not yet confirmed
Q

Data Analytics Intern

Quantium · Jan 2023 – Jan 2023

Not yet confirmed
  • Performed exploratory data analysis on large-scale retail sales datasets using Python (Pandas, Matplotlib, Seaborn) to identify performance drivers and regional growth opportunities
  • Developed data visualizations and generated actionable business insights on product performance, customer segmentation, and purchasing behavior that informed regional optimization strategies
Revolux Solutions Pvt. Ltd.

Content Writing Intern - Marketing and Technical

Revolux Solutions Pvt. Ltd. · Nov 2021 – Jun 2022

Not yet confirmed

Skills 0 proven through work

Also works with

Qlik Sense UsageAmazon Redshift UsageLooker UsagePower BIProject ConceptualizationProactive InitiativeWork Planning and PrioritizationBusiness Growth StrategyProcess ImprovementBefore-and-After Impact MeasurementClient Deliverables ManagementCustomer Relationship BuildingData-Driven RecommendationsProduct DemonstrationsPresentation DesignTaking OwnershipTime Series Trend AnalysisData ValidationTechnology Stack SelectionTrade-off AnalysisPDF Report Generation IntegrationAutomated Report GenerationData ExportData CollectionVerbal CommunicationData CalculationAnalytical Report CreationMicrosoft ExcelSystem EnhancementCustom Metric DesignTableauData ExtractionETL Pipeline DevelopmentData ModelingData ExaminationRequirements AnalysisBusiness Opportunity IdentificationExploratory Data Analysis (EDA)Data VisualizationData TransformationPython DevelopmentQuery WritingData EngineeringData Science

Proof of Work

Proof of Work

Samuel shares this with people who ask. You'll hear back either way.

Education

B.Tech, CS and Al

· 2019 — 2023

Higher Secondary, Grade 12

· 2018 — 2019

Secondary, Grade 10

· 2016 — 2017

Contact details

Contact details

Samuel shares this with people who ask. You'll hear back either way.

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