Ayush kant
Contact details — on requestProof of Work — on request
Experience
B
Software Engineer
BUSINESS NEXT · Jul 2025 – Jul 2026
- Engineered an XGBoost model to identify at-risk customers before they leave.
- Tuned for 'Recall' to catch maximum churners, proactively saving an estimated ₹5.85Cr in customer value.
- Built a Random Forest model suggesting highly relevant loan or insurance products.
- Added exclusion rules to stop pitching already-owned products, making the sales team 2-3x more efficient.
- Created a scoring system ranking complaints by urgency, customer value, and churn risk.
- Enabling managers to resolve the most damaging issues first, reducing complaint-related issues by ~30%.
- Used K-Means clustering to group customers into 4 behavioral profiles, transitioning the business from generic marketing to highly personalized CRM campaigns.
- Built a Logistic Regression tool predicting the probability of a prospect converting.
- Prevents random calling, focusing on the highest-quality leads first to boost daily sales.
B
Software Engineer
BUSINESSNEXT · Jul 2025 – Jul 2026
- CRM Application - WORK NEXT
- • Churn Prediction: Engineered an XGBoost model to identify at-risk customers before they leave.
- Tuned for 'Recall' to catch maximum churners, proactively saving an estimated ₹5.85Cr in customer value.
- • Product Recommendation System: Built a Random Forest model suggesting highly relevant loan or insurance products.
- Added exclusion rules to stop pitching already-owned products, making the sales team 2–3x more efficient.
- • Complaint Prioritization: Created a scoring system ranking complaints by urgency, customer value, and churn risk.
- Enabling managers to resolve the most damaging issues first, reducing complaint-related issues by ~30%.
- • Customer Segmentation: Used K-Means clustering to group customers into 4 behavioral profiles, transitioning the business from generic marketing to highly personalized CRM campaigns.
- • Lead Conversion Scoring: Built a Logistic Regression tool predicting the probability of a prospect converting.
- Prevents random calling, focusing on the highest-quality leads first to boost daily sales.
Software Engineer
AQM Technologies · Jul 2022 – Jul 2025
- Worked on the enterprise FinnOne application, developing and maintaining backend database solutions for core business modules.
- Designed PL/SQL procedures, functions, triggers, and anonymous blocks to automate business logic, perform bulk data remediation, and ensure data integrity across production systems.
- Applied database normalization techniques to eliminate redundancy and improve data consistency.
- Optimized SQL query performance through execution plan analysis, indexing, and backend tuning, enhancing application response times for high-volume transactions.
- Collaborated with Business Analysts, QA, and DBA teams to analyze functional requirements, troubleshoot production issues, and implement scalable database solutions.
- Contributed to increasing functional coverage of the Master module from 20% to 98% by developing robust backend logic aligned with business policies and application requirements.
A
Software Engineer
AQM TECHNOLOGIES · Jul 2022 – Jul 2025
- Developed PL/SQL remediation scripts, standalone program units, and validation triggers to cleanse corrupted production data, automate business rules, achieving 100% data integrity across financial modules while increasing functional requirement across modules from 20% to 98%.
- Optimized normalized database schemas, SQL execution plans, and indexing strategies to eliminate redundancy and improve high-volume query performance and accelerate high-volume data retrieval and application response times.
Skills 0 proven through work
Also works with
Technical Knowledge SharingTeamworkAd-hoc Task ManagementExplaining Technical ConceptsClean Code PracticesStructured Work ApproachAnalytical ThinkingRequirements Definition for SourcingProblem SolvingAdaptabilityCustomer ServiceWork Planning and PrioritizationData-Driven RecommendationsClient FocusBusiness Value RealizationPython DevelopmentTechnical Solution DesignBusiness AnalysisData Integrity ManagementDatabase NormalizationBusiness Logic ImplementationTechnical TroubleshootingRequirements AnalysisCRUD OperationsDatabase ManagementPL/SQL ProgrammingHyperparameter TuningRecall Metric InterpretationPrecision Metric InterpretationAccuracy Metric InterpretationRandom Forest ModelingLogistic Regression ModelingClassification ModelingData PreprocessingExploratory Data Analysis (EDA)Data TransformationFeature EngineeringHandling Data SparsityData Readiness AssessmentFeature SelectionData Type & Feature UnderstandingCustomer Churn PredictionXGBoost ModelingMachine Learning Application
Proof of Work
Proof of Work
Ayush shares this with people who ask. You'll hear back either way.
Education
Degree, B. Tech
LNCT Bhopal · 2016 — 2020
Advance Certification, Data Science and Artificial Intelligence
IIT Roorkee · 2025 — 2026
Contact details
Contact details
Ayush shares this with people who ask. You'll hear back either way.
Ask about this candidate
AI responses may contain errors. Proof status and source information are provided by Proof of Skill.
A Proof CV — one profile, kept current, with the proof attached. Back to the portal