Jun 2022 – Dec 2023 · 1 yr 6 mos · Kolkata, West Bengal, India · Hybrid

• Key Result Areas (KRAs) for the "Anovos.ai" Product:
• > Research and Market Analysis
• ▪ Conducted a competitor and market gap analysis for MLOps products in the feature engineering space to identify potential growth opportunities and devised strategies for product development
• ▪ Analyzed 15+ competitor products, both open-source and proprietary, for benchmarking
• > Feature Prioritization and Roadmap Management
• ▪ Coordinated cross-functional teams to craft a product roadmap via the MoSCoW method, achieving 20% quicker time-to-market and stronger competitive positioning
• ▪ Consolidated insights from 20+ stakeholders and user feedback, boosting user satisfaction by 15%, and refined the product positioning map, enhancing our competitive stance
• > Strategic Collaboration with Sales and Marketing for Business Growth
• ▪ Established partnerships with sales and marketing, increasing product visibility by 25%. Simultaneously developed a Tableau dashboard for competitor KPI analysis
• ▪ Initiated pilot programs with elite Fortune 500 clients such as AT&T, utilizing market insights and sales feedback. This calculated strategy drove a 15% increase in product adoption rates
• Accomplishments:
• > Supporting the Sales and Customer Support Teams
• ▪ Provided technical mentorship to a 15-member sales team, addressing 300+ queries and contributing to a 20% improvement in customer issue resolution
• ▪ Revamped post-sales support strategies, resulting in a 10% surge in customer retention and a 15% reduction in support ticket volume.
• > Successful Collaboration
• ▪ Collaborated with sales to refine segmentation, boosting lead conversions by 12%
• ▪ Partnered with top industry firms, increasing product endorsements by 30%
• > Operational Excellence in Development
• ▪ Led the transition to Agile methodologies, reducing project turnaround times by 25%
• ▪ Developed technical workflow documentation, increasing team efficiency by 20%

Jun 2021 – Jun 2022 · 1 yr · Kolkata, West Bengal, India · Hybrid

• Key Result Areas (KRAs) for the "LendBetter" Product
• > Developing Data-as-a-Service (DaaS) API and Platform
• ▪ Steered the development and launch of a DaaS API and platform from concept to deployment, supporting 3 key data sources and ensuring daily API delivery to 10+ active clients
• ▪ Systematized cross-functional teams of 8 engineers, developers, and analysts collaborate throughout the system development lifecycle. with a completion rate of 95% for scheduled tasks
• > Managing Recurring ETL Pipelines
• ▪ Steered ETL processes for 50+ clients, driving 30% of company revenue, and optimized cloud costs with AWS EMR, achieving up to 28% total savings
• ▪ Implemented and refined alerting modules to monitor data delivery from 10 distinct sources, successfully achieving a 50% reduction in resolution time for identified issues, enhancing overall system efficiency and reliability
• Accomplishments
• ▪ Effected an 80% cost reduction in the daily aggregation process, saving $150,000 annually, and led a 40% cost-saving transition by migrating APIs from AWS to Azure
• ▪ Spearheaded 10+ key projects using Agile, elevating collaboration across 5+ teams and leadership, while mentoring 10+ junior members to boost team efficiency

Apr 2020 – Jun 2020 · 2 mos · Noida, Uttar Pradesh, India · On-site

• 𝐏𝐲𝐭𝐡𝐨𝐧 𝐖𝐞𝐛 𝐂𝐨𝐦𝐩𝐢𝐥𝐞𝐫 𝐟𝐨𝐫 𝐎𝐧𝐥𝐢𝐧𝐞 𝐂𝐨𝐝𝐢𝐧𝐠 𝐂𝐥𝐚𝐬𝐬𝐞𝐬 :-
• ▪ Conducted user research and market analysis resulting in a 30% increase in user engagement and identifying new product opportunities
• ▪ Conceptualized and developed a secure and user-friendly web application leveraging Node.js and Docker, enabling users to execute Python code
• ▪ Enhanced user experience by installing relevant scientific Python libraries and GUI, streamlining the learning curve and enabling users to quickly perform complex tasks.
• ▪ Worked closely with cross-functional teams of engineers, designers, and stakeholders to develop innovative solutions, reducing technical challenges and errors by 20%.
• ▪ Ensured high availability, scalability, and cost-effectiveness of the web application by hosting it on an AWS EC2 Micro Instance, reducing infrastructure and maintenance costs by 40%.
• 𝐀𝐜𝐜𝐨𝐮𝐧𝐭-𝐁𝐚𝐬𝐞𝐝 𝐄𝐦𝐚𝐢𝐥 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 :-
• ▪ Implemented a targeted lead generation strategy by utilizing Selenium to scrape LinkedIn profiles for relevant contact information, including name and company, to predict the target's email
• ▪ Generated 46 email address templates based on target information and then validate those emails using email verifier APIs like ZeroBounce and Email Checker. This resulted in improving our outreach efforts by 70%
• ▪ Led front-end developers in creating an email predictor platform, streamlining the prediction process for improved efficiency and accuracy.

May 2018 – Jul 2018 · 2 mos · Gurgaon, India

• ▪ Developed Learning Management System, Moodle, using Bitnami database and AWS for the company’s website
• ▪ Implemented personalised learning system in Moodle using different AI plugins like adaptive learning that would help in creating adaptive quiz according to the user’s need and lead them to coursework relevant to their needs
• ▪ Developed authentication system for login to website and used MySQL for storing all user’s and website’s data
• ▪ Implemented coderunner on the same Moodle platform for running codes written in different languages

Jan 2018 – Feb 2018 · 1 mo · Bengaluru Area, India

• ▪ Creating Messenger Chat Bot for an efficient food ordering platform using Heruko web socket to provide an online virtual server for incoming requests and storing the relevant ones in Heruko’s cloud.
• ▪ Handling the live data from chat bot of the food delivery application coming from Bengaluru

Dec 2017 – Dec 2017 · 0 mo · IIM BANGALORE

• Implemented Python-based algorithms for detection of the occurrence of a Sleep Apnea event, using -
• VoiceActivity Detection(VAD), by evaluating threshold energy and comparing it with the energy of the typical respiratory signal
• Convolutional Neural Network (CNN)implementation using Keras framework with TensorFlow and Theano backend, with the architecture of network containing
• Convolutional, Dense, RELU, MaxPooling2D, Dropout layers.

Jul 2017 – Apr 2019 · 1 yr 9 mos · Kharagpur · On-site

• ▪Researched target audiences and created targeted marketing campaigns.
• ▪Created a referral program leading to a 35% increase in user acquisition.
• ▪Collaborated with product teams to develop new features, resulting in a 50% increase in user engagement.
• ▪Coordinated cross-functional teams to develop growth strategies that increased monthly active users by 45%.
• ▪Led a team of three analysts optimizing the user onboarding process, resulting in a 25% increase in user retention.
• ▪Analyzed growth data and presented insights to inform strategic decisions to executive leadership.
• ▪Mentored and trained junior analysts, increasing team efficiency and effectiveness.

Jul 2017 – Nov 2017 · 4 mos · Bengaluru Area, India

• ▪ Built a Machine Learning model which successfully accessed SMS data from cell phones in order to scrape any transaction related information based on user activities and adjust budget of application user accordingly.
• ▪ The model had a three platform functioning, the first classified the sms as spam or ham using Naïve Bayes with an efficiency of 91.8%, next would determine if amount is debited or credited searching for relevant keywords by implementing Natural Language Processing, and last would extract amount from sms and update the budget.

Jul 2017 – Aug 2017 · 1 mo · Bengaluru Area, India

• ▪ Improved the ranks of clients website’s on Page Rank algorithm, using backlinks, keyword search etc.
• ▪ SEO for client websites to enhance their reach to cutomers by means of blog writing over reknowened platforms

Jun 2017 – Jul 2017 · 1 mo · Bengaluru Area, India

• ▪ Scraping educational data from NCERT pdfs to create question sets to feed to the Artificial Teacher which interacts with the online users of the website and using Knowledge Tree plot to interconnect these concepts.
• ▪ All the concepts collected and question sets made along with the user information was stored on MongoDB