Nominated within top 3 ideas in BMAS Shark tank Comp over MMEA.
Developed ML model learning from NW 4G stats correlation between traffic, users & Throughput to identify high PS_Load sectors.
Developed UE Analysis PYTHON tool analyzing MME Huge CTUM files concluding NW UEs counts & shares per model & manufacturer.
Developed Pyhton Tool analyzing Cell traces files & creating DB for capabilities per device & tac to ease strategic decisions regarding certain feature activation.
Developed Pyhton Tool Auditing the sophisticated NW relations (4G-4G/4G-3G) & auditing Carrier Aggregation ,LoadBalancing, ANR related parameters over 4G relations.