Strategic Sales Enablement & Market Growth Project

Role:

Business Development Manager

Organization:

Herts & London Mini Cabs – London

Project Summary:

Led a cross-functional, data-driven program for business development on revenue optimization, risk reduction, and market expansion. A combined application of market intelligence, stakeholder alignment, and performance analytics to implement measurable commercial changes.

Tech Stack:

HubSpot CRM,Data Analysis: Microsoft Excel (Pivot Tables, VLOOKUP), Google Sheets, Tableau.Presentation & Reporting: Google Data Studio, Microsoft PowerPoint,Documentation & Collaboration: Microsoft Teams

Key Achievements & Responsibilities:

Sales Analytics and Performance Tracking: Applied sales performance metrics and data visualization tools to pinpoint bottlenecks in the pipeline, track KPIs, and inform sales strategy in optimizing the sales process.

Revenue Generation: Surpassing sales income targets through the implementation of market strategies in coordination with sales, finance, and operations teams.

Risk Mitigation: Performed risk assessments on new revenue streams and partnerships and established controls that reduced the potential monetary liabilities by 10%.

Market Research & Competitive Intelligence: Conducted comprehensive industry and competitor analysis to identify growth opportunities, market gaps, and emerging trends.

Strategic Insight & Decision Support: Presented actionable insights and business intelligence reports to top management and frontline sales to influence pricing models and campaign design.

Stakeholder Management & Project Delivery: Maintained relationships with internal and external stakeholders from legal, technical, and finance to ensure smooth execution of the new business initiatives.

Proposal Development & Bid Management: Led the preparation of proposals and responses to RFPs to affirm alignment with client needs, project feasibility, and compliance issues.

Operational Efficiency & Sales Enablement: Improved CRM use and sales enablement processes to realize a 15% increase in conversion and pipeline velocity.

Business Impact:

Surpassed revenue targets quarterly and increased accuracy of sales forecast.

Enhanced the competitive positioning through strategic differentiation.

Improved stakeholder engagement and project lifecycle outcomes.

Increased means for data-driven decision-making in the commercial function.

Data Analytics & Visualization Job Simulation

Position:

Virtual Data Analyst (Job Simulation)

Company:

Accenture North America – London (Remote Simulation)

Period of Tenure:

Apr 2024

Project Summary:

Complete the virtual simulation as data analyst for Accenture in a scenario that was a social media pseudo-client setting. Handling data end to end-all the way from cleaning to delivering strategic business insight.

Technical Contributions:

Cleaning, modeling, and analyzing seven raw datasets for key trends around user engagement and content performance and translating the analytical results into strategic insights for the client to ask for decisions.

Putting together one single PowerPoint presentation for the client and recording a video walkthrough for stakeholders.

Outcome/Impact:

Gaining the ability to extract meaningful insights from complex datasets within the context of business questions that were posed to them.

Disseminated these findings/insights through written business documentation and visual aids in business storytelling and stakeholder communication. With real-world task simulation, developed client relationship expectations within the field of consulting.

Coach Position System

Role:

Front-End Software Developer

Organization:

Ikonos Technologies – India

Client

Indian Railways

Project Summary:

Designed and deployed a web-based platform to help passengers and station staff view real-time train coach positions and timing data. The system enhances visibility into coach layouts and arrival details, improving crowd flow and passenger guidance.

Tech Stack:

HTML5, CSS, SCSS, JavaScript, Bootstrap

Technical Contributions:

Developed responsive frontend pages with SCSS and Bootstrap for optimal UX across devices.

Integrated live data feeds to show real-time coach and train timing updates.

Implemented visual indicators and intuitive layout mapping for coach positions.

Collaborated with backend engineers to ensure clean API integration and quick load times.

Outcome & Impact:

Improved passenger experience and platform coordination for Indian Railways.

Increased platform efficiency by enabling clear coach guidance and minimizing confusion.

Played a role in digitizing key aspects of railway station management and public service.

Document Management System

Role:

Front-End Software Developer

Organization:

Ikonos Technologies – India

Client

Indian Railways

Project Summary:

Developed a responsive web and mobile application for Indian Railways to manage and upload critical documents, equipment manuals, and station-specific signaling data. The platform enabled centralized access to documentation across railway zones, improving operational efficiency and compliance.

Tech Stack:

AngularJS, HTML5, CSS3, SCSS, JavaScript, Bootstrap

Technical Contributions:

Engineered a single-page application using AngularJS for real-time document uploads and search.

Designed intuitive UI components with SCSS and Bootstrap, ensuring mobile responsiveness.

Developed access control features to allow role-based document management.

Optimized page load speed and structured data handling for large-volume uploads.

Outcome & Impact:

Reduced paper-based documentation by 80% across select railway zones.

Enabled 24/7 access to critical manuals and operational procedures for on-field staff.

Improved document retrieval time and data security in compliance with government IT policy.

Employee Rating System

Role:

Front-End Software Developer

Organization:

Ikonos Technologies – India

Duration:

Sep 2019 – Jun 2021

Project Synopsis:

Heavily engaged in designing and developing software-based hardware systems which in turn evaluate worker performance automatically against set KPIs. The system again allowed real-time monitoring and grading of its employees across departments for equity in performance reviews.

Tech Stack:

C#, MSSQL, HTML5, CSS3, JavaScript, Bootstrap

Technical Contributions:

Designed dynamic front-end interfaces using Bootstrap and JavaScript for deployment at desktop terminals.

Developed backend logic and services in C# to receive performance data and calculate ratings.

Set up SQL Server databases to store employee activity logs and rating scores information.

Interface the software with RFID-enabled attendance modules and IoT devices.

Outcome & Impact:

With this automated evaluation, the manual bias got eradicated, thereby saving maximum 30 man-hours every review cycle.

It helped improve the accuracy and transparency of tracking employee performance.

This also helped in making HR decisions and processes for quarterly feedback better.

Hot Machining Optimization – 17-7 PH Alloy Steel(Internship).

Position:

Project Team Lead

Organization:

DRDO, Ministry of Defence, Government of India – India

Period of Tenure:

July 2018 to October 2018

Project Description:

Conducted experimental research on hot machining behavior of 17-7 PH alloy steel to aid fabricating missile components. The project dealt with thermal-type optimization carried out by setting up the butane gas environment to work on machinability and performance of the material.

Technical Contributions:

Performed hot machining tests in a controlled manner with varying thermal conditions to study tool wear, surface integrity, and chip morphology.

Optimized process parameters at different temperatures, feeds, and speeds for best cutting conditions.

Looked after the set-up and operation of a butane gas heating unit coupled with the machining setup.

Outcome & Impact:

contributed to DRDO in advancing missile materials by improving machining methodologies.

Made it possible to manufacture complicated geometries for components from heat-resistant alloys precisely.

Results were taken forward in present material design reviews and process control methodologies.

Automation Study of Shear-Stress Testing Apparatus(Internship).

Position:

Project Team Lead

Organization:

Fuel Complex, Department of Atomic Energy – India

Period of Tenure:

February 2018 to June 2018

Project Description:

Commanding a study to optimize the performance of an automatic shear-stress testing machine for nuclear materials in the assessment of mechanical properties. Seeking operational inefficiencies and recommending data-based improvements so as to optimize ensuring reliability, accuracy, and throughput parameters in the test environment.

Technical Contributions:

Root-cause analysis and time-motion studies for performance study of the machine against various load conditions.

Gathered real-time data from the machine and interpreted the results for inefficiencies and calibration problems.

Designed test procedures and fixed performance criteria to verify the consistency and repeatability of the machine.

Produced detailed technical documentation related to schematics, system behavior, and analysis of failure points.

Outcome & Impact:

Suggested changes that have improved operational throughput and thus reduced mechanical downtimes.

Produced formal technical reports utilized in internal audits and training documentation.