Co-Founder and CTO at Tricog Health
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Healthcare, Networked Embedded Systems, Signal Processing, Machine Learning, Energy Efficiency
UCLA
PhD, EE, Embedded Systems and Machine Learning
January 1, 2006 – January 1, 2012
Indian Institute of Technology, Bombay
MTech, EE
January 1, 1999 – January 1, 2002
Parshvanath College of Engineering
BE, Electronics and Telecommunication
January 1, 1995 – January 1, 1999
Indian High School
CBSE, High School
January 1, 1993 – January 1, 1995
Ibn Seena English High School
GCE, High School
January 1, 1986 – January 1, 1993
Tricog Health
Co-Founder and CTO
January 1, 2015 – Present
Bangalore, India
IBM India
Research Manager
June 1, 2014 – January 1, 2015
IBM India
Research Staff Member
April 1, 2012 – June 1, 2014
Qualcomm
CR&D Intern
June 1, 2009 – September 1, 2009
San Diego, California
Eisodus Networks
Chief System Architect
January 1, 2002 – January 1, 2006
Indian Institute of Technology, Bombay
Research Assistant
January 1, 1999 – January 1, 2002
Cultural Fit Analysis
The candidate has a diverse background spanning academia, large corporations (IBM, Qualcomm), and a startup (Tricog Health). This indicates adaptability to different work environments. However, the target role is 'Data Analyst', which is a significant shift from their prior roles focused on embedded systems, machine learning research, and CTO responsibilities. While the PhD includes Machine Learning, direct data analysis experience is not explicitly detailed, which might impact cultural fit for a pure data analyst role without further clarification.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder and CTO, along with research management roles, suggests strong leadership, problem-solving, and strategic thinking abilities. However, the provided data does not offer specific insights into communication, teamwork, or stress handling beyond general role assumptions.