Suraj Veer Singh Negi

A Proactive and fast learning individual seeking an opportunity to work as a dynamic IT Engineer utilizing analytical & methodical skills and relevant expertise to help the company achieve business goals while sticking to vision, mission and values.

Date of Birth: 09/14/1997

• Edvancer, PG in Data Science and Artificial Intelligence, 2020
• St. Angelo Professional, IT Graduate Program in Web and Software Engineering, 2019

Here I have completed Mumbai Airport IT project. For the Installation of IP based camera and adding it into Server and Application.

• Project where I have managed a 3 teams T1, Cargo and T2
• Project where I worked for CCTV Configuration and installing IP based CCTV cameras in Airport various Location and adding it into Servers and in Application.
• Planning and coordinating with client requirement, doing the surveys for better understanding the Location based challenges.
• With the help of my team we have completed and installed the 1263 no cameras in the whole Mumbai Airport.
• Application end, I and my team added 1263 cameras into the DAS and NAS server and added into Nice (Qognify)Application.
• NICE(Qognify) to GENETEC Migration Application END Airport Project.
  Here I have worked with other team EseC, MIAL security. Where we jointly coordinated and successfully migrated IP based CCTV cameras from Qognify to Genetec application.
• My main job was Coordination with Network Team and Migrate the devices from one Application end to another Application.
• Here I have changed the configuration and network part of camera.
• Worked in GENETEC application end, where I have to add cameras into server, managing the Recording data. Proper time synchronization with server to Application.
• Total 2500 camera I and other team have successfully migrated

• Real Estate, Created a predictive model using linear regression to predict the price for all the houses in its market in the future which would be as close as possible to the price where the future transaction would take place. Data regarding all possible variables and qualities of over 10,000 houses sold in the past was collected and analyzed.
• Retail, Created a model using Logistic regression to predict if a store should be opened or not in that particular location. Relevant data regarding locations, population, sales and revenues of key products for stores opened in the past was provided to be analyzed and for model building.
• Banking, Created a model using Logistic regression to predict those customers most likely to respond positively to the new product and the campaign. Results for these previous campaigns had been made available for over 50,000 customer predictive.

• SEM 5 Project : VOICE CONTROLLED Home Automation System, Control Home Appliances using Smartphone via Wi-Fi and Virtual Button [Solo].
• SEM 6 Project : GAS Leakage Detection System, IOT based Gas Leakage Detection System using NODEMCU ESP8266 Wi-Fi module and notify through alarm and mail. [Solo]

• Photography
• Learning New Technologies
• Trekking and Travelling
• Competitive Gaming
• Gym (Weight-Lifting)
• Cricket

I hereby declare that all the given above are true to the best of my knowledge and belief.