M. Tech Student
Batch: 
2018-2020
Roll No: 
183350028
Email: 
amanlonare95@gmail.com

I graduated from IIT Kanpur as a Mechanical Engineer in 2017 and moved towards development sector. I am from Nagpur and did my schooling in Pune. I chose CTARA because from the start I have a knack for solving probems and CTARA gives me the right platform for it. I am interested in exploring the capabilities of various technologies like Machine Learning and Artificial Intelligence for Social Good. I believe in today's era 'Data is the new Oil' and it has the potential to tackle some of the world's most challenging social problems. Currently I am working on developing a Decision Support System for farmers and decision makers of our country which could help them to monitor their crop in real time. This could help the farmers to manage their farms properly, increase their productivity and increase their profit. 

Internships: 

Appropriate Technology Intervention for Livelihood Improvement of Farmers

  • Interviewed 12 farmers to understand the increase in yield due to the change from chemical to organic fertiliser
  • Analyzed the intervention of TATA Powers CSR activities for farmers in Vadeshwar and Karjat 

Understanding Oil Well Design & Principles of Bit Hydraulics

  • Developed an application in VBA that can be used for selection of a drilling bit with optimum bit hydraulics
  • Reviewed emerging technology of drilling that can replace the conventional methodology of drilling 

Validation of Electrical Parameters of S-Line Busbar Trunking System

  • Organized data concerning the Busbar designs of various competitors into user-friendly, easy to analyze format 
  • Proposed an iterative method to create a generic design model which can be utilized for future needs 

Home Equity Private Limited, WhatsLoan, Bangalore

  • Worked on the development of UI/UX of the Android Application and Web application using Android SDK
  • Researched on optimisation of the Android application and integrated Google Analytic in the application
Key Projects: 

Water and Energy Nexus in Sugarcane cultivation in Junekhed, Maharashtra | Field Stay

  • Analyzed 8 village sectors and critiqued 2 government schemes from primary and secondary data
  • Identified 5 major problems from 4 Focused Group Discussion of Men and Women
  • Observed furrow irrigated farm is giving 36% less water to sugarcane with 60% efficiency
  • Productivity of sugarcane is found to be 20% more for Drip irrigated farm than furrow irrigated farm 

Web-based Decision Support System for crop monitoring

  • Developing a web portal for farmers to help them in assessing their crop in real-time using remote sensing
  • Estimating and predicting the crop acreage by processing the spatiotemporal satellite images of the crop

Real Time Crop Monitoring Using Remote Sensing

  • · Examined the feasibility of Remote Sensing in crop monitoring with focused on Satellite image processing 
  • Critically analyzed the effectiveness of Machine Learning Regression and Classification algorithms on satellite images for crop acreage estimation, forecasting & crop classification
  • · Supervised Classification of satellite images of paddy estimates showed RD (%) of +17.10 than actual

Support Vector Machines for Crop Classification using Hyperspectral Data

  • Implemented Support Vector Machine, Multilayer Perceptron & Radial Basis Function on Hyperspectral Images
  • Support Vector Machine outperformed MLP and RBF in the classification of different crops and soil with 128 bands 

Data Analysis of National Family Health Survey-4 (NFHS-4) data on Malnutrition

  • Performed Tukey, Fischer, Bonferroni tests on NFHS-4 data with 25+ features using MINITAB to compare the variations in wasting, stunting, anaemia condition in Himachal Pradesh with neighbouring states
  • Observed malnutrition in Himachal Pradesh districts, neighbouring Punjab, are less prevalent than UP using QGIS

Biofuels: Critique on Biofuel Policy 2018

  • Critical analysis of the Biofuels Policy 2018 by performing predictive analysis on the secondary data available
  •  Discovered shortage of 13% & 30% of bioethanol by 2022 & 2030 to achieve the desired goal of the government 

CSR Policy: Evaluation and Analysis of CSR performance

  • Critiqued the annual, spatial and sectoral CSR performance of 3 PSEs & their compliance to Companies Act 2013
  • Observed discrepancies between CSR expenditure mentioned in the website and in the annual report 

Analysis of Land Use and Land Change (LULC) of Academic Campus

  • Observed Eutrophication in Powai Lake near Hiranandani has reduced significantly compare to IITB in 2000 - 2018 
  • Forecasted hotspots prone to water logging from Digital Elevation Map and suggested sustainable ways to avoid it
  • Presented the project in TECHNO-VISION 2018 under TEQIP-III and won first prize

 

Key Courses: 

Machine learning in Remote Sensing | Environmental Statistics (Probability theory) | Project Management and Project Analysis | Technology in Practice (Advanced Statistics) | Principles of Satellite Image Processing (Audit) |