Deepansh Singh Email & Phone Number

New Delhi, DL, IN

India

1. Smart Patient Engagement SolutionRole: Lead DeveloperDescription: Developed a Smart Patient Engagement Solution to handle patient registration, appointment bookings, and cancellations, along with HITL (Human-in-the-Loop) to oversee any special tasks required by the patients. The project was delivered as a cdk to be deployed on production.

Delhi, India

• Established a Low-Code No-Code competency within the team, enabling the delivery of numerous proof-of-concepts (POCs) for diverse clients within tight deadlines. Designed and implemented a Power Apps-based Case.
• Created MIS & visualization dashboards catering to diverse clientele spanning industries including Metals and Mining, Oil, and Construction
• Utilized Alteryx and PowerBI to conduct comprehensive data analysis and visualization covering various functions in revenue, network planning and flight operations, resulting in the successful resolution of a.
• Spearheaded the development of an ESG compliance tool for a prominent client, empowering them to work towards achieving a net-zero carbon footprint by 2030.

India

- Leveraging UIpath to create intelligent invoicing solutions for a diverse clientele.- Intelligent Marketing using Machine Learning for Targeted Marketing purposes.

Sydney, New South Wales, Australia

• Assisted the lead AI scientist in intellectualizing and development of the proprietary tool Trepo currently being utilized all over Australia to reduce time for Procure to pay processes upto 90% by automating invoice.
• Utilized python and flask to synthesize and analyze huge petroleum datasets to develop Address Verification System reducing auditors time by 90%.
• Developed switch recognition system using deep learning model - YOLOv5. The project involved collection, labelling and synthesis of ethernet switch dataset to identify correctly plugged-in wires in large switch.

Sydney, New South Wales, Australia

Developed and deployed hyper automation solutions using latest RPA technologies.Experimented and contributed to AI and ML development using multiple platforms and a range of open-source technologies.Curation and development of various machine learning models (CNN, Random forrest, XGBoost etc).

Sydney, New South Wales, Australia

• Initiated the development of their proprietary career recommendation system by applying a combination of context-based and collaborative recommendation systems to result a 97% accuracy.
• Applied data science methods and analytics to develop the strategic and tactical foundation for a data-driven client. Part of a team responsible for distilling complex data and processing it into simple, clear.

Sydney, New South Wales, Australia

• Working as a media sales advisor, required to deal with various hardware sales and queries alongside respective warranties, insurance compliances and added services such as internet security and Microsoft packages..
• Stayed in knowledge with the state of art technologies and financing options.
• Consulted numerous customers towards product insurance, warranty and telecommunication contacts.
• Constantly strived to achieve weekly sales budget of store based on current and previous year quota.
• Arranged special orders for customers by liaising between different stores and suppliers in the chain for best customer satisfaction.

Sydney, New South Wales, Australia

During my 3 semesters as an academic tutor, I taught Machine Learning to over 150 students. My role as a tutor was to run 8 x 1 hour/week tutorial sessions over the course of the semester, expanding on concepts covered in lectures. I was also responsible for writing assignments and exams, providing regular feedback to course convenors.

Sydney, Australia

Assisted Dr. Galerah Mohammadi in curating and creating content for Machine Learning at the University of New South Wales. I was handling a class of 100 students alone.

Sydney, Australia

Assisting Dr. Bain in predicting binding properties of antibodies with pathogens using various machine learning algorithms with an accuracy of 96%.Developing an Ensembled Machine Learning model

Optical Stroke Recognition Engine was built using PythonThis project incorporates leading-edge Machine Learning algorithms. Neural Networks have never been used before in such a way to recognize handwritten character strokes.The research task involved the acquisition, analysis, and preparation of data along with classification and recognition of characters.

Gurgaon, India

Master'S Degree, Artificial Intelligence And Database Systems, Distinction

Activities and Societies: Teaching Assistant for COMP9417 under Dr. Michael Bain

Bachelor'S Degree, Computer Science, 7.72

Activities and Societies: - Member of Student Council of M.I.T (Aug 2014 - Aug 2016) - Center Back for university football team.

High School, Grade 12Th, Physics, Chemistry, Mathematics, 90.4% , 94% In Pcm

Activities and Societies: - Scholar Badge holder for 8 years straight. (2005-2013) - Vice-Head boy (March 2011 - March 2012) and School.

High School, Grade 10Th, 10 Cgpa

Received a Letter of Appreciation from Mr. Kapil Sibbal, Minister of Human Resource Development, Communications and Information.