Mar 2022 – Jan 2023 · 10 mos · Bengaluru, Karnataka, India · On-site

• Prototyped an efficient synthetic data generator that has high correlation with real-world data and have low storage and computation costs
• Developed cutting edge algorithms/automation logic by observing patterns and filling out the nulls while generating synthetic data (Pattern Aggregated weighted matrix approach)
• Designed, implemented and generated synthetic data for both individual and aggregated weighted matrix approach
• Generated refined mobility diary with respect to 1 hour time slots based on ping frequency probabilities, distance moved from home location, number of transitions
• Validated the simulator for places data available at different geographical locations in US that got scaled to 1.5 million users for both primary category and POI levels
• Implemented new metrics of data validation by defining mathematical measures like: average distance trav-elled, radius of gyration
• Implemented the k means clustering algorithm for grouping the primary category-based mobility diary of an individual into different personas by computing a vector matrix based on ping frequencies, fixing the coordinates and using machine learning libraries in PySpark

Jun 2021 – Oct 2021 · 4 mos · Chennai, Tamil Nadu, India · On-site

Jan 2021 – Jun 2021 · 5 mos · Kolkata, West Bengal, India

• Automated the process of drone/noise detection using peak detection method for rate-delay spectrum analysis by performing image analysis on drone-harmonics pattern obtained on measured data in MATLAB™
• Performed research on detecting commercial drones by understanding the literature and articulating in MATLAB™ scripting language and validating through computer simulations
• Developed an automated script to analyze/classify Frequency-hopping spread spectrum (FHSS) pattern for detecting commercial drones by using techniques of Short-time Fourier transform (STFT), image processing (dilation/erosion) and extraction of frequency hopped parameters

May 2019 – Feb 2020 · 9 mos · Baltimore, Maryland Area

• ⇨Enhanced the simulation data processing tool for generating single port/patch gain plots for phased array antenna system design
• ⇨Developed an automated script to build concentric lens designs using semi-circle following the object oriented programming concepts
• ⇨Developed an automated script to solve PolyGRIN shape long chain of equation surfaces for any
• given combination of input parameters to be utilized later for the lens designing tool
• ⇨Developed an automated script to parametrize PolyGRIN equation surfaces and validate contour plots and other lens profiles to be utilized later for the lens tool
• ⇨Validated the lens profiles obtained from the MEEP optimization and worked on the generic logic prototype using principles of pattern recognition and classification for programmatically identifying the lens design layers
• ⇨Parametrized PolyGRIN equation surfaces in both radial and axial direction while talking with HFSS providing lens designers the required flexibility to use layers of the PolyGRIN shape having any N-number of data points for changing the lens designs in validation of their efficiencies

Feb 2018 – Apr 2019 · 1 yr 2 mos · United States

• Air Traffic Control Operations (ATC)
• ⇨Developed tracking algorithms in C and MATLAB™ to find the trajectory of a moving aircraft by the rotating radar
• ⇨Developed simulation tools in C and MATLAB™ to test and evaluate algorithm performances on the Standard Terminal Automation Replacement System (STARS) for aircraft tracking and airspace safety
• ⇨Designed and developed a statistical analysis tool in MATLAB™/OCTAVE to process aircraft’s tracker output data files and to compute its deceleration and acceleration for level off cases (climbing/descending) using the sliding window technique
• ⇨Analyzed the existing STARS programs written in C for airport cdr (binary) data conversion in order to decode the radar, alerts and ADS-B information and implemented algorithms to change the endianness
• ⇨Designed a GUI for radar rotation and target tracking in JAVA using the radar/target data available in the scenario file and developed some customized algorithms to read any given scenario file by classifying the radar, track and segment data
• ⇨Performed post analysis on the track, radar and alerts data to gather aircraft trajectory and alerts information

May 2016 – Aug 2016 · 3 mos · Brooklyn, New York, United States · On-site

• Worked with channel sounders for mmWave measurements and assisted the measurement team with data collection and analysis for 5G wireless research projects
• Learned the basics of RF measurements using power meters, spectrum analyzers and the calibration tech-niques required to preserve the linearity of RF signal analyzers

Jan 2015 – Dec 2016 · 1 yr 11 mos · Oxford,Ohio,USA

•  Guided students to perform LabVIEW experiments and work with Arduino microcontroller
•  Guided students to design and develop electrical circuits for DC and AC circuit analysis
•  Assisted students to work with oscilloscopes, digital multimeters, breadboard, IC, transistors
•  Clarified student concerns with practical verification of all key circuit theorems

Mar 2014 – Jun 2014 · 3 mos · Bengaluru Area, India

• Client: HP Products, Bangalore, India
• SAP ABAP Consultant
• Handled Complex ABAP development for HP’s internal projects, part of Global Supply Chain
• development (GSCD).

Jun 2011 – Mar 2014 · 2 yrs 9 mos · Bengaluru Area, India

• Extensive experience working as a developer in SAP-ABAP technology
• Worked on various SAP business modules: MM(Procurement), FICO(Finance), SD(Sales & Distribution) and handled complex business developments
• Pursued this job role to build-up my analytical and logical skills
• Developed my programming skills and handled team efficiently during difficult phases of release cycles

Jun 2010 – Aug 2010 · 2 mos · Bengaluru Area, India

• Worked on project: Waveform Generation in S-Band RADAR Receiver involved with generation of signal wave forms in time and frequency domain at the subsystem output of a radar receiver
• Enhanced my learning to understand the behavior of real-time hardware measurements
• Gained my experience with MATLAB and learnt concrete mathematical techniques under application of signal processing algorithms
• Developed my analytical skills while taking pragmatic approaches to solve real time problems and issues